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楊進木 (Jinn-Moon Yang) Dean College of Biological Science and Technology Professor Drug Design and Systems Biology Laboratory Department of Biological Science and Technology Institute of Bioinformatics & Systems Biology, National Yang Ming Chiao Tung University Address: 75 Po-Ai Street, Hsinchu, Taiwan, 30068 Office & Lab : 415-1 and 404 (Lab) in Jan Qi Biomedical Engineering Building Tel: 886-3-5712121 ext.56942; Fax: 886-3-5729288 E-mail: moon@faculty.nctu.edu.tw |
We have extensively explored new models of computational systems biology and computer-aided drug design to study fundamental theories of molecular interactions (e.g., Molecular Interaction Family) in cells. Our goal is to study drug-protein-pathway-cellular processes-disease relationships, and to establish the links from basic research to translational medicine. To achieve these goals, our team has been committed to integrate artificial intelligence, big data, physico-chemical concepts, and biology for exploring relationships among "molecular interactions", "cell behavior" and "drug discovery principles". To validate our models, we have rigorously collaborated with biological/clinical teams and their bioassay/clinical results support and demonstrate that our models are able to address the challenges and achieve our goals. We have continuously collaborated with researchers from various universities and institutes like NHRI, Academic Sinica, research hospitals (e.g., NTUH, TMU, and KMU) and international institutes (e.g., Kyoto University and Harvard University) for resolving unmet clinical needs and important biological issues.
姓名___________________________ | 畢業學年度_____________________ | 目前任職_______________________ |
劉宛欣 (共同指導) | 2021 | 北一女中教師 |
Nikhil Pathak | 2020 | 普睿思股份有限公司 |
史蔓莉 (共同指導) | 2018 | -- |
黃星翰 | 2017 | 圖策科技 |
陳世勳 | 2013 | 國立臺灣大學 |
林志達 | 2013 | 癌症顧問公司 |
邱一原 | 2013 | 台積電 |
林峻宇 | 2013 | 國立陽明交通大學 |
劉怡馨 | 2012 | -- |
羅宇書 | 2011 | 台達電子 |
許凱程 | 2010 | 臺北醫學大學 |
丹尼爾 (共同指導) | 2010 | -- |
黃章維 | 2010 | 奎克生技光電股份有限公司 |
陳志杰 (共同指導) | 2009 | 國立中山大學 |
陳彥甫 | 2009 | 中環股份有限公司 |
董其樺 | 2008 | 輔仁大學 |
陳俊辰 | 2008 | -- |
張耀霖 (共同指導) | 2008 | -- |
朱彥煒 (共同指導) | 2005 | 國立中興大學 |
姓名___________________________ | 畢業學年度_____________________ | 目前任職_______________________ |
賴文森 | 2017 | 國軍臺中 803 總醫院 |
李日清 | 2015 | 國防醫學院 三軍總醫院 |
姓名___________________________ | 畢業學年度_____________________ | 目前任職_______________________ |
楊欣儒 | 2021 | 科林研發 |
陳宜群 | 2021 | -- |
黃宇薇 | 2020 | 聯發科技 |
林庠豫 | 2020 | 圖策科技 |
范祐瑋 | 2020 | -- |
吳承軒 | 2019 | 慧邦科技 |
林楚芸 | 2019 | 尚禾亞 |
李可愉 | 2019 | -- |
蔡宜君 | 2018 | Lydia.ai |
劉威廷 | 2018 | 盟基生技 |
趙千嫣 | 2018 | 聯發科技 |
李力渝 | 2018 | 國立台灣大學醫學院醫學系內科 |
郭超望 | 2018 | chimes AI |
洪慈懋 | 2018 | 台智基因體股份有限公司 |
陳筠媞 (共同指導) | 2018 | -- |
林思妤 | 2016 | -- |
巫思穎 | 2016 | 台積電 |
李容羽 | 2016 | -- |
李哲勳 | 2016 | -- |
楊方琪 | 2015 | -- |
許元綸 | 2015 | 台灣國際商業機器股份有限公司 |
顏佳儀 | 2015 | 合一生技 |
沈培鈞 | 2014 | 台灣活性脂質股份有限公司 |
林傳東 | 2014 | -- |
陳怡君 | 2014 | 台積電 |
莊佾軒 | 2014 | -- |
曾仁琥 | 2014 | 美創資通 |
林昱葦 | 2014 | 趨勢科技 |
劉冠秀 | 2013 | Supermicro |
林伸融 | 2013 | -- |
李采凌 | 2012 | -- |
徐瑋澤 | 2012 | -- |
游尚文 | 2011 | -- |
李淩婷 | 2011 | 正文科技 |
尤宣人 | 2011 | 趨勢科技 |
許彥超 | 2011 | -- |
黃御哲 | 2010 | -- |
林怡瑋 | 2010 | 行動基因生技股份有限公司 |
林韋帆 | 2010 | -- |
張力仁 | 2009 | -- |
林峻宇 | 2009 | 國立陽明交通大學 |
陳彥修 | 2008 | -- |
劉康平 | 2008 | -- |
陳祐德 | 2007 | -- |
羅宇書 | 2007 | 台達電子 |
許凱程 | 2006 | 臺北醫學大學 |
陳右儒 | 2006 | 聯發科技 |
陳永強 | 2005 | 新竹馬偕醫院 |
楊登凱 | 2005 | -- |
葛振寧 | 2005 | -- |
黃章維 | 2005 | 奎克生技光電股份有限公司 |
陳宏助 | 2004 | -- |
張立人 | 2004 | -- |
林柏村 | 2004 | -- |
邱一原 | 2004 | 台積電 |
董其樺 | 2004 | 輔仁大學 |
林建宏 | 2003 | -- |
沈再威 | 2003 | -- |
陳彥甫 | 2003 | 中環股份有限公司 |
張育祥 | 2002 | -- |
楊進木 (Jinn-Moon Yang)![]() |
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Name | Major Fields in BS | Memo (Research Groups, Research Directions, Publications) |
Nikhil Pathak | Pharmacy | July 2020, Ph.D. Drug Design for Pathogenic and infectious Diseases - Dengue |
黃星翰 (Sing-Han Huang) |
Biochemical Science and Technology | October 2017, Ph.D. Human Brain Aging and Neurodegeneration Disease Journal paper: 2 papers |
林峻宇 (Chun-Yu Lin) |
Biological Technology | July 2014, Ph.D. Systems Biology: Protein-protein interaction Journal paper: 11 papers |
林志達 (Chih-Ta Lin) |
Biological Technology | July 2014, Ph.D. Anticancer drug: Kinase-specific inhibitors & networks Journal paper: 5 papers |
邱一原 (Yi-Yuan Chiu) |
Computer Science | July 2014, Ph.D. Computer-aided drug design Journal paper: 4 papers |
陳世勳 (Shih-Hsun Chen) |
Biochemical Engineering | December 2013, Ph.D. Computer-aided drug design Journal paper: 3 papers |
劉怡馨 (I-Hsin Liu) |
Life Science | July 2013, Ph.D. Systems Biology: Protein-MHC-TCR interaction Journal paper: 3 papers |
羅宇書 (Yu-Shu Lo) |
Life Science | July 2012, Ph.D. Systems Biology: Protein-protein interaction Journal paper: 10 papers |
許凱程 (Kai-Cheng Hsu) |
Biological Technology | July 2011, Ph.D. Computer-aided drug design Journal paper: 16 papers |
陳彥甫 (Yen-Fu Chen) |
Applied Chemistry | July 2010, Ph.D. Computer-aided drug design Journal paper: 6 papers (Win the 2007 National Innovation Award) |
黃章維 (Jhang-Wei Huang) |
Biological Technology | September 2010, Ph.D. Influenza Virus: Antigenic Drift Analysis, Antigen-Antibody interaction Journal paper: 4 papers |
陳俊辰 (Chun-Chen Chen) |
Biological Technology | June 2009, Ph.D. Systems Biology: Protein-protein interaction Journal paper: 3 papers |
董其樺 (Chi-Hua Tung) |
Biological Science | June 2009, Ph.D. Structural Bioinformatics: 3D-BLAST, Antigen-Antibody interaction Journal paper: 3 papers |
張耀霖 (Yao-Lin Chang) |
Computer Science | June 2008, Ph.D. Title: A 3D-regulog approach to predict protein-DNA binding partners and binding model (Co-advised student with Cheng-Yan Kao in NTU) |
朱彥煒 (Yen-Wei Chu) |
Computer Science | June 2006, Ph.D. Title: Finding Protein Secondary Structure Regularity and Related Applications (Co-advised student with Chuen-Tsai Sun in NCTU) |
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Name | Major Fields in BS | Memo (Research Groups, Research Directions, Publications) |
賴文森 (Wen-Sen Lai) |
Department of Otolaryngology, Taichung Armed forces General Hospital | June 2018, MD. Ph.D. Journal paper: 22 papers |
李日清 (Jih-Chin Lee) |
Institute of Medical Sciences, The National Defense Medical Center | July 2016, MD. Ph.D. Journal paper: 41 papers |
Name | Major Fields in BS | Memo (Research Groups, Research Directions, Publications) |
劉威廷 (Wei-Ting Liu) |
Food sciences | March 2019, Master Systems Biology |
郭超望 (Chao-Wang Kuo) |
Medical Technology | March 2019, Master Systems Biology |
李力渝 (Li-Yu Li) |
Food Science | March 2019, Master Computer-aided drug design |
趙千嫣 (Chien-Yen Chao) |
Computer Science and Information Engineering | March 2019, Master Computer-aided drug design |
洪慈懋 (Tzu-Mao Hung) |
Nutrition | March 2019, Master Computer-aided drug design |
蔡宜君 (Yi-Chun Tsai) |
Biological Technologyy | January 2019, Master Computer-aided drug design |
巫思穎 (Szu-Ying Wu) |
Microbiology | July 2017, Master Computer-aided drug design |
李容羽 (Jung-Yu Lee) |
Animal Science | July 2017, Master Systems Biology: Protein-protein interaction |
許元綸 (Yuan-Luen Sheu) |
Information Management | July 2016, Master Systems Biology: Protein-protein interaction |
顏佳儀 (Chia-Yi Yen) |
Biological Technology | July 2016, Master Computer-aided drug design |
楊方琪 (Yi-Jyun Jhen) |
Biological Technology | July 2016, Master Systems Biology: Protein-protein interaction |
李哲勳 (Jhuan-Dong Lin) |
Biological Technology | July 2016, Master Computer-aided drug design |
莊佾軒 (Yi-Shen Chung) |
Computer Science | July 2015, Master Systems Biology: Protein-protein interaction |
沈培鈞 (Pei-Jyun Chen) |
Life Science | July 2015, Master Computer-aided drug design |
陳怡君 (Yi-Jyun Jhen) |
Information Management | July 2015, Master Systems Biology: Protein-protein interaction |
林傳東 (Jhuan-Dong Lin) |
Earth Sciences | July 2015, Master Computer-aided drug design |
曾仁琥 (Jen-Hu Tseng) |
Pharmacy | July 2015, Master Computer-aided drug design |
林昱葦 (Yu-Wei Lin) |
Biochemical Technology | July 2014, Master Systems Biology: Protein-Protein interaction |
劉冠秀 (Kuan-Shiu Liu) |
Computer Science | July 2014, Master Computer-aided drug design |
李采凌 (Tsai-Ling Lee) |
Computer Science | July 2013, Master Systems Biology: Protein-protein interaction Journal paper: 1 paper |
徐瑋澤 (Wei-Ze Syu) |
Life Science | July 2013, Master Computer-aided drug design |
尤宣人 (Syuan-Ren You) |
Computer Science | July 2012, Master Computer-aided drug design |
游宇震 (Yu-Chen, Yu) |
Management Information System | July 2012, Master Systems Biology: Protein-protein interaction |
李淩婷 (Ling-Ting Li) |
Medicine Management | July 2012, Master Computer-aided drug design Title: Core site-moiety maps of histone demethylase family for multi-target inhibitors and binding mechanisms Journal paper: 3 papers |
林伸融 (Shen-Rong Lin) |
Computer Science | July 2014, Master Computer-aided drug design Title: iGemdock 2.0 and SiMMap: Post-screening analysis for structure-based drug design Journal paper: 4 paper |
黃御哲 (Yu-Chi Huang) |
Biological Technology | July 2011, Master Computer-aided drug design Title: A web server for lead optimization using site-moiety map: A case study on neuraminidase Journal paper: 1 paper |
林怡瑋 (Yi-Wei Lin) |
Life Science | July 2011, Master Systems Biology: Protein-protein interaction Title: Template-based Homologous Modules through Protein-protein Interaction Families Journal paper: 2 papers |
許彥超 (Yen-Chao Hsu) |
Computer Science | December 2011, Master Computer-aided drug design Title: Moiety-based site-moiety map |
林韋帆 (Wei-Fan Lin) |
Life Science | July 2011, Master Influenza Virus: Antigenic Drift Analysis Title: Genetic and antigenic analysis to the hemagglutinin of influenza A H1N1 virus and comparisons with H3N2 virusJournal paper: 1 paper |
張力仁 (Li-Jen Chang) |
Life Science | July 2010, Master Structural Bioinformatics |
林峻宇 (Chun-Yu Lin) |
Biological Technology | May 2010, Master Systems Biology: Protein-protein interaction Journal paper: 2 papers |
陳彥修 (Yen-Hsiu Chen) |
Life Science | June 2009, Master Systems Biology: Protein-DNA/Protein-RNA interaction |
劉康平 (Kang-Ping Liu) |
Computer Science | June 2009, Master Systems Biology: Protein-protein interaction Journal paper: 1 paper |
陳祐德 (Yu-Te Chen) |
Aquaculture | June 2008, Master Title: A New Profile Method to Predict Protein-ligand Binding Site |
羅宇書 (Yu-Shu Lo) |
Life Science | June 2008, Master Title: Template-Based Scoring Function for Predicting Protein-protein Interaction Journal paper: 2 papers |
許凱程 (Kai-Cheng Hsu) |
Biological Technology | June 2007, Master Title: Binding Affinity Analysis of Protein-ligand Complexes |
陳右儒 (Yo-Ru Chen) |
Computer Science | June 2007, Master Title: iGEMDOCK: A graphical-automatic drug design system for docking, screening and post-analysis (Win the 2007 National Innovation Award) |
楊登凱 (Teng-Kai Yang) |
Computer Science | June 2006, Master Title: Structural Binding Pocket Clustering and Protein-ligand Interaction Analysis for ATP-binding Proteins |
陳永強 (Yung-Chiang Chen) |
Life Science | June 2006, Master Title: Inferring Domain Annotated Protein-Protein Interactions through 3D-Domain Interologs Journal paper: 2 papers |
葛振寧 (Chen-Neng Ko) |
Biological Science | June 2006, Master Title: Structure-based Compound Screening for Helicobacter pylori shikimate kinase (HpSK) Journal paper: 1 paper |
黃章維 (Jhang-Wei Huang) |
Biological Technology | June 2006, Master Title: Predicting Antigenic Variants of Influenza A H3N2 Viruses by Building Relationships between Genetic Evolution and Antigenic Drift Journal paper: 2 papers |
董其樺 (Chi-Hua Tung) |
Biological Science | June 2005, Master Title: PiSA-BLAST: A New Tool for Protein Structure Alignment and Database Search (Win the prize of 2005 Best M.S. and Ph. D. Dissertation Award hosted by IICM (Institute of Information & Computing Machinery)) Website: 3D-BLAST Journal paper: 3 papers |
邱一原 (Yi-Yuan Chiu) |
Computer Science | June 2005, Master Title: Optimizing New Energy Functions for Protein Folding Journal paper: 1 paper |
林柏村 (Po-Tsun Lin) |
Life Science | June 2005, Master Title: LigSeeSVM: Support Vector Machines and Data fusion for Ligand-based Compound Screening and Applications to GPCR and GABAA |
陳宏助 (Heng-Chu Chen) |
Life Science | June 2005, Master Title: Inferring Protein-protein Interactions from Structural Domain-domain Interactions |
張立人 (Li-Jen Chang) |
Medical Technology | June 2005, Master Title: Integrating GEMDOCK with GEM-PLS and GEM-kNN for QSAR modeling of huAChE and AGHO |
沈再威 (Tsai-Wei Shen) |
Biological Science | June 2004, Master Title: Enhancing GEMDOCK on Virtual Database Screening and Application to Envelope Protein and D-Hydantoinase (Win the prize of 2004 Best M.S. and Ph. D. Dissertation Award hosted by IICM (Institute of Information & Computing Machinery)) Website: GEMDOCK Journal paper: 2 papers |
林建宏 (Chien-Heng Lin) |
Biological Science | June 2004, Master Title: MuLiSA: Analysis and Identification of Functional Motifs and Residues in Proteins by Multiple Ligand-bound Structure Alignments |
陳彥甫 (Yen-Fu Chen) |
Applied Chemistry | June 2004, Master Title: Validation and Application of GEMDOCK and Application of Data Fusion in Virtual Screening Journal paper: 2 papers |
張育祥 (Yu-Hsiang Chang) |
Life Science | June 2003, Master Title: A New Energy Model for Protein-Protein Interaction Prediction |
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建立藥物-蛋白質-生化途徑-疾病機制的關連建立基礎研究-轉譯醫學-產業的連結 |
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OverviewOur research focused on computer-aided drug design (GEMDOCK and SiMMap), structural bioinformatics (3D-BLAST, (PS)2 and fastSCOP), and systems biology (PPISearch and 3D-partner), especially investigating the molecular interfaces (e.g., protein-protein, protein-DNA, protein-ligand interactions). Our main contributions and innovations are described as follows: I) Discover the protein-compound interaction family for multi-target drug design and new uses for old drug [1-4]. II) The first team proposed protein-protein interactions (interface family) across multiple species [5-8]. III) We have developed the first tool, called 3D-BLAST which is as fast as BLAST and has the features of BLAST (e.g. robust statistical basis, and effective and reliable search capabilities), to search large protein structures (> 30000) within 3 seconds in the world [9-11]. |
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Drug discovery: Pharmalogs and HomopharmaFor structure-based protein-ligand interactions and drug discovery, we have developed a molecular docking tool, namely GEMDOCK [3, 4, 13, 14], which is one of wide-used tools in the world. We cooperated with 10 research teams on diverse drug targets. We cooperated with over 10 laboratories which successfully applied our tools for identifying lead compounds and protein functional sites and protein engineering. For example, GEMDOCK has been successfully applied to identify the lead compounds for dengue virus envelop protein (cooperating with Yang YL in NCTU)[2]; inhibitors of influenza virus neuraminidase (cooperating with Hsu TA in NHRI) [15]; lead compounds of ROCK kinase (cooperating with Chao JI in NCTU) for anti-cancer drugs; antibiotics of shikimate kinases of Mycobacterium tuberculosis and Helicobacter pylori (cooperating with Wang WC in NTHU). We have successfully applied our tools for discovering the secondary vitamin D3 binding site of milk beta-lactoglobulin (cooperating with Mao JI in NCTU)[16, 17]; the binding mechanism between c-di-GMP ad cAMP Receptor-Like Protein CLP (cooperating with Chao SH in NCHU) [18]. The timed citations of two related papers [3, 13] are 58 and 61, respectively, from 2004. These related papers were cited over 180 times. We got the 2007 National Innovation Award due to the achievement of iGEMDOCK.在藥物開發部份,本實驗室透過獨立研發的全台第一個藥物嵌合軟體 GEMDOCK(榮獲 2007 國家新創獎)與超過 400 個 CPU 的計算資源,可快速的針對特定藥物標靶於虛擬藥物資料庫中(超過 30 萬筆小分子化合物)進行篩選,並利用全球首創的區域官能基地圖技術分析標靶蛋白的藥物結合機制,進而篩選出新型抑制劑。有別於其他計算實驗室缺乏自主實驗驗證,我們已建構由全波長式多功能微量分析儀暨冷螢光數位影像分析系統為主的高效藥篩平台,可對篩選出的抑制劑進行活性分析,並可針對常見癌症(肝癌、乳癌、頭頸癌)或發炎反應進行細胞實驗分析。此外,我們並與淡水馬偕醫院與三軍總醫院合作進行臨床試驗,是國內少數從計算跨足轉譯醫學的藥物設計與系統生物實驗室。在癌症與許多複雜疾病的主要藥物標靶-蛋白激酶上,我們透過上述程序,發現了特定受體酪氨酸激酶專屬的結合位點(Type-C pocket),並成功針對此位點篩選出選擇性抑制劑(Type-C inhibitors),而大規模蛋白激酶抑制活性分析結果亦顯示出高選擇性,並能克服傳統化療藥物所產生的常見抗藥性突變,順利突破此類年產值高達 185 億美金的藥物目前所面對的瓶頸--選擇性與抗藥性,為其選擇性與抗藥性設計開闢另一個方向。 |
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Molecular interface families (protein-drug, protein-protein, and protein-DNA)In protein-peptide interactions, we improved our PPI template-based scoring function with template similarity and interacting force to guarantee statistically significant interface similarity between peptide candidates and structure templates. Our model, considering both MHC-peptide and peptide-TCR interfaces, could provide visualization and biological insights of MHC-peptide-TCR binding models. We believe that it is very helpful for the development of peptide-based vaccines. For protein-DNA interactions, we developed a new approach, namely 3D-regulogs, to infer protein-DNA binding partners by using the concept of regulog and crystal structures of protein-DNA complex as templates [12]. This approach also provides binding models, interacting amino acids, and DNA bases of predicted partners. For protein-ligand interactions, we have introduced site-moiety maps [1], which recognize interaction preferences between protein pockets and compound moieties. SiMMap was developed to identify site-moiety maps from query protein structures and their docked (or co-crystallized) compounds. Over 1,400 users have created more than 1,500 site-moiety maps for different proteins. Site-moiety map is able to provide biological insights and useful for drug discovery and lead optimization. |
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Homologous structural systems biologyFor systems biology and structural bioinformatics, we have proposed a novel concept, called "3D-domain interologs", to discover protein-protein interactions[6-8] and protein-DNA interactions [12] which are considered as orthologous interactions among different species, in particular about inferred interacting domain pairs and binding models (e.g. hydrogen-bond interactions and conserved residues). For protein-protein interactions, we proposed the PPISearch server [5] for searching homologous protein-protein interactions (PPIs), called PPI family, across multiple species. According to our knowledge, PPISearch is the first public server that identifies homologous PPIs from annotated PPI databases and infers transferability of interacting domains and functions between homologous PPIs and the query. By taking account of structural bioinformatics cross species, we extended PPISearch to PCFamily [8], which is useful for binding model visualizations and annotating query proteins based on homologous protein complexes. Until September 2010, over 3,500 users have used PPISearch and PCFamily servers. Furthermore, the number of accessing 3D-BLAST exceeds 6,000 from 44 countries and related papers were cited ~50 times since 2007. |
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藥物傳輸老藥新用:尼古丁乙醯膽鹼受體α9在尼古丁誘導之癌症中的調控機制本團隊與台北醫學大學乳癌研究團隊(何元順教授團隊及雙和醫院院長 吳志雄教授等)合作,探討尼古丁(Nicotine)誘導多種疾病(如肺癌、頭頸癌、乳癌、畸形兒等)發生之轉譯醫學研究,尼古丁乙醯膽鹼受體α9(α9-nAChR)被認為參與由尼古丁所誘發的人類正常乳腺上皮細胞的轉型,由於目前所有的PPI資料庫都缺乏α9-nAChR的交互作用蛋白質,我們透過同源映射網路及蛋白質-化合物交互作用家族概念,發現5個新的α9-nAChR之交互作用蛋白質(X1、X2、X3、X4和X5)及其相關生化途徑。透過免疫共沉澱及螢光共振能量轉移影像(Förster resonance energy transfer),發現α9-nAChR正常情況下會與生長因子受體(如X1、X2)結合,降低其活性;當尼古丁結合α9-nAChR會使其與生長因子受體分離,因而活化下游生化途徑抑制細胞凋亡及促進細胞增生。目前已將此發現透過臨床檢體進行驗證,成功發現尼古丁誘發乳癌之機制,相關成果發表撰寫中。 |
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天然藥新藥開發中草藥在中華民族的生活與歷史上扮演重要角色,然而隨著西風東漸,國人因為中草藥的傳統理論基礎缺乏現今科學化的解釋而漸趨勢微,這無論對已有數千年臨床驗證的中草藥或是對人類的健康都是一大損失,所以將中草藥的療效賦予科學化的解釋是相當重要且刻不容緩的。本實驗室透過系統生物的策略,建構出跨物種的同源交互作用網絡,並成功解釋疾病的致病機制。並透過在藥物設計領域的積累,提出全球首創的同源藥理概念,可利用蛋白與藥物的共結晶結構預測出其他具有類似結合機制的標靶蛋白與藥物,有助於舊藥新用與副作用預測。而本實驗室進一步將系統生物與藥物設計結合,可透過將中草藥或整株植物的成分以同源藥理概念找出潛在作用蛋白,並標註於同源交互作用網絡,如此將可以作用標靶、作用途徑、影響疾病等科學化方式闡述中草藥的療效,目前並已成功應用於痲瘋樹、紅麴與牛樟芝的治療與保健功效預測上。 |
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抗癌與抗感染藥物開發:頭頸癌病人傳統藥物治療偕同健康食品進行輔助療法本團隊與三軍總醫院頭頸癌研究團隊(病理部聶鑫主任及李日清醫師)合作,透過系統生物策略模型,發展可以用於診斷、預後及治療之頭頸癌生物標記-HNC88(88個基因),並試圖以 HNC88 從分子階層角度對病患進行分類與治療,大致可將病患分成 HPV-infected、Immune-enriched 及 Proliferation-enriched 三大類。葡萄王生技為國內保健食品製造龍頭,本團隊與葡萄王生技合作進行生技健康食品科學化及功效驗證,如:分析樟芝王關鍵成分對口腔癌病患化放療之副作用緩解分析及預後評估,探討食用前、後之各病患子類血液中基因表現與癌症生化途徑的變化。 |
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腦及神經老化藥物開發人類對於大腦運作所負責的腦區已有了解但對於詳細運作機制仍然尚未釐清,因此對於大腦研究進而衍伸出幾個議題:1. 因應世界人口老齡化的趨勢因而衍生出老年神經退化性疾病,例如:阿茲海默症,根據統計在 2010 年全球有將近 2100 萬到 3500 萬名阿茲海默症患者,而歸因於阿茲海默症相關的死亡案例大約有 48.6 萬例。阿茲海默症會使患者越來越需要他人的照護,因此導致在已開發國家中阿茲海默症是相當耗費社會資源的疾病之一。世界衛生組織指出目前並沒有特定藥物有實證證明對阿茲海默症治療有效,只有少數可能可以暫時(緩解)改善症狀的方法,而健康食品及植物藥被視為是另類可能的有效途徑;2. 由於許多大腦疾病已知與性別有關,例如:男生易患自閉症、女生易患阿茲海默症,因此透過了解男女大腦先天上的差異對於釐清疾病病理機制具有莫大幫助,本團隊透過表徵型資料:腦電波圖譜(EEG)、大腦核磁共振(MRI)、動物模式,以及基因型資料:基因表達圖譜(mRNA microarray)、次世代定序(NGS)、蛋白質體圖譜(Proteomics),整合本團隊核心技術蛋白質交互作用家族(PPI family)、模組交互作用家族(Module family)、蛋白質-配體交互作用家族(Protein-ligand family),進而揭露大腦疾病詳細生化機制。 |
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合作夥伴We have accumulated extensive experiences in drug design to achieve the specific aims. Our team consists of experts in different fields, including computational drug design, systems biology, clinical trial, lead optimization, biochemistry, and animal models. We have successfully discovered 45 lead compounds (<10 μM) for various diseases or pathogens. One of the identified natural compounds, rosmarinic acid, is currently applying for the U.S. patent and IRB approval at Mackay Memorial Hospital (馬偕醫院) for clinical trials. Based on these results, we have received one U.S. patent (US 8,175,860 B2), and have applied one U.S. patent (13/872,456) and one ROC patent. In university-industry collaborations, we have collaborated with ScinoPharm (台灣神隆), Phalanx Biotech Group (華聯生技), Food Industry Research and Development Institute (食品工業研究所), and Jason Life Tech for developing new drugs, botanical drugs, healthy food, and microarray platform for detecting diseases. We have collaborated with over 30 laboratories (e.g., Professor Wang HJ [王惠鈞院士] and Professor Mark von Itzstein, inventor of the first anti-influenza drug, Zanamivir), five teaching hospitals, and 15 national institutes for drug discovery, systems biology, binding mechanisms, and multi-target drugs. In addition, we have achieved some significant results in molecular interactions and structural systems biology: 1) We are the first team proposed molecular-interface families; 2) We have established the statistical biophysics methods to infer site-moiety maps (hotspots) of proteins for protein-ligand binding mechanisms and drug discovery; 3) We have proposed the comprehensive molecular interaction networks for studying interactomes; 4) We have developed GEMDOCK, which is a world-wide used docking programs. |
GEMDOCK - a Generic Evolutionary Method for molecular DOCKing GEMDOCK is a program for computing a ligand conformation and orientation relative to the active site of target protein. The tool was developed by Jinn-Moon Yang, a profesor of the Institute of Bioinformatics, National Chiao Tung University.
URL: http://gemdock.life.nctu.edu.tw/
SiMMap: Site-moiety map for drug discovery and mechanisms
URL: http://simfam.life.nctu.edu.tw/
3D-BLAST is a very fast and accurate method for discovering the homologous proteins and evolutionary classifications of a newly determined protein structure. Our 3D-BLAST has the advantages of BLAST tool for fast protein structure database scanning.
URL: http://3d-blast.life.nctu.edu.tw/
Input an interacting protein pair as a query to search its homologous interactions across multiple species
URL: http://gemdock.life.nctu.edu.tw/ppisearch/
PCFamily : Protein Complex Family Search
URL: http://pcfamily.life.nctu.edu.tw/
MoNetFamily - Homologous modules and module-module interaction networks in vertebrates
URL: http://monetfamily.life.nctu.edu.tw/
KIDFamMap: Kinase-inhibitor-disease family map
URL: http://gemdock.life.nctu.edu.tw/KIDFamMap/
CaMPNets: Membrane protein-regulated networks across human cancers
URL: http://campnets.life.nctu.edu.tw/
PharmaCoNets: Drug community–regulated networks
URL: http://pharmaconets.life.nctu.edu.tw/
Tranditional Chinese Herb
URL: http://gemdock.life.nctu.edu.tw/HERBID/
PDB | This resource is powered by the Protein Data Bank archive-information about the 3D shapes of proteins, nucleic acids, and complex assemblies that helps students and researchers understand all aspects of biomedicine and agriculture, from protein synthesis to health and disease. |
UniProt | The mission of UniProt is to provide the scientific community with a comprehensive, high-quality and freely accessible resource of protein sequence and functional information. |
PDBsum | The PDBsum is a pictorial database that provides an at-a-glance overview of the contents of each 3D structure deposited in the Protein Data Bank (PDB). It shows the molecule(s) that make up the structure (ie protein chains, DNA, ligands and metal ions) and schematic diagrams of their interactions. Extensive use is made of the freely available RasMol molecular graphics program to view the molecules and their interactions in 3D. |
CATH | CATH is a classification of protein structures downloaded from the Protein Data Bank. We group protein domains into superfamilies when there is sufficient evidence they have diverged from a common ancestor. |
PFam | The Pfam database is a large collection of protein families, each represented by multiple sequence alignments and hidden Markov models (HMMs). Proteins are generally composed of one or more functional regions, commonly termed domains. Different combinations of domains give rise to the diverse range of proteins found in nature. The identification of domains that occur within proteins can therefore provide insights into their function. |
Dali Database | The Dali Database is based on all-against-all 3D structure comparison of protein structures in the Protein Data Bank (PDB). The structural neighbourhoods and alignments are automatically maintained and regularly updated using the Dali search engine. |
SWISS-MODEL | SWISS-MODEL is a fully automated protein structure homology-modelling server. |
(PS)2 | (PS)2 is an automatic homology modeling server. |
The ConSurf Server | It provides evolutionary conservation profiles for proteins of known structure in the PDB. |
THPA | The Human Protein Atlas portal is a publicly available database with millions of high-resolution images showing the spatial distribution of proteins in 44 different normal human tissues and 20 different cancer types, as well as 46 different human cell lines. |
STRING | STRING is a database of known and predicted protein interactions. The interactions include direct (physical) and indirect (functional) associations; they are derived from four sources: Genomic Context, High-throughput Experiments, (Conserved) Coexpression and Previous Knowledge. |
Brenda | The comprehensive enzyme information system |
PhosphoSitePlus | PhosphoSitePlus® (PSP) is an online systems biology resource providing comprehensive information and tools for the study of protein post-translational modifications (PTMs) including phosphorylation, ubiquitination, acetylation and methylation. |
BLAST | For blast search to find similar DNA or Protein sequences |
CLUSTAL Omega and other MSA tools | For Protein MSA |
T-Coffee | T-Coffee is a multiple sequence alignment program. Its main characteristic is that it will allow you to combine results obtained with several alignment methods. |
WebLogo | WebLogo is a web based application designed to make the generation of sequence logos as easy and painless as possible. |
WebLogo 3 | WebLogo is a web based application designed to make the generation of sequence logos easy and painless. |
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PubChem | PubChem is a database of chemical molecules and their activities against biological assays. |
ChEMBL | It is a manually curated chemical database of bioactive molecules with drug-like properties. |
DrugBank | The DrugBank database is a unique bioinformatics and cheminformatics resource that combines detailed drug. |
BindingDB | BindingDB is a public, web-accessible database of measured binding affinities, focusing chiefly on the interactions of protein considered to be drug-targets with small, drug-like molecules. |
STITCH | STITCH is a resource to explore known and predicted interactions of chemicals and proteins. |
Avogadro | Molecule building and editing tool to build and minimize compound structures |
TCMID | Provide information on all respects of Traditional Chinese Medicine including formulae, herbs and herbal ingredients |
Dr. Duke's Phytochemical and Ethnobotanical Databases | Provide the infomation about plants and their ingredients. |
EDB | Provide the infomation about plants in Bangladesh and their ingredients. |
ZINC | A free database of commercially-available compounds. |
MolPort | MolPort is advanced chemical marketplace. |
Selleckchem | Selleck Chemicals supplies over 3,000 inhibitors used in the study of cell signaling pathways. We actively tracks the latest science so our customers can rely on us to be the leading supplier of the newest inhibitors. |
Chemical Book | 查詢化合物相關資訊的網站 |
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Gene Ontology | The Gene Ontology (GO) project is a major bioinformatics initiative to develop a computational representation of our evolving knowledge of how genes encode biological functions at the molecular, cellular and tissue system levels. |
Gene Expression Data (L1000) | Gene expression is highly correlated. We take advantage of this high degree of correlation to reduce the number of measurements needed to generate meaningful gene expression data for the approximately 20,000 genes in the human genome. |
DAVID | DAVID now provides a comprehensive set of functional annotation tools for investigators to understand biological meaning behind large list of genes. |
GEO (Gene Expression Omnibus) | GEO is a public functional genomics data repository supporting MIAME-compliant data submissions. Array- and sequence-based data are accepted. Tools are provided to help users query and download experiments and curated gene expression profiles. |
Genome | This resource organizes information on genomes including sequences, maps, chromosomes, assemblies, and annotations. |
1000 Genome Browser | A global reference for human genetic variation |
TCGA (The Cancer Genome Atlas) | The Cancer Genome Atlas (TCGA) Data Portal provides a platform for researchers to search, download, and analyze data sets generated by TCGA. It contains clinical information, genomic characterization data, and high level sequence analysis of the tumor genomes. |
cBioPortal | The cBioPortal for Cancer Genomics provides visualization, analysis and download of large-scale cancer genomics data sets (e.g. TCGA). |
CCLE (Cancer Cell Line Encyclopedia) | The Cancer Cell Line Encyclopedia (CCLE) project is an effort to conduct a detailed genetic characterization of a large panel of human cancer cell lines. The CCLE provides public access analysis and visualization of DNA copy number, mRNA expression, mutation data and more, for 1000 cancer cell lines. |
GeneCards | GeneCards is a searchable, integrative database that provides comprehensive, user-friendly information on all annotated and predicted human genes. It automatically integrates gene-centric data from ~125 web sources, including genomic, transcriptomic, proteomic, genetic, clinical and functional information. |
HPRD | Provide integrated information of domain architecture, post-translational modifications, interaction networks and disease association for each protein in the human proteome. |
Allen Brain Atlas | An anatomically comprehensive atlas of the adult human brain transcriptome |
MGI | Provide integrated genetic, genomic, and biological data for mouse. |
SGD | Provide integrated biological information for the budding yeast Saccharomyces cerevisiae. |
ArrayExpress | ArrayExpress Archive of Functional Genomics Data stores data from high-throughput functional genomics experiments, and provides these data for reuse to the research community. |
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Chimera | Protein Visualization tool |
Cytoscape | Cytoscape is an open source software platform for visualizing complex networks and integrating these with any type of attribute data. |
MeV | MeV is a versatile microarray data analysis tool, incorporating sophisticated algorithms for clustering, visualization, classification, statistical analysis and biological theme discovery. |
GENE-E | GENE-E is a matrix visualization and analysis platform designed to support visual data exploration. |
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Google 學術搜尋 | 站在巨人的肩膀上 |
KEGG | KEGG PATHWAY is a collection of manually drawn pathway maps representing our knowledge on the molecular interaction and reaction networks. |
EBI (The European Bioinformatics Institute) | EMBL-EBI provides freely available data from life science experiments, performs basic research in computational biology and offers an extensive user training programme, supporting researchers in academia and industry. |
COSMIC | All cancers arise as a result of the acquisition of a series of fixed DNA sequence abnormalities, mutations, many of which ultimately confer a growth advantage upon the cells in which they have occurred. There is a vast amount of information available in the published scientific literature about these changes. COSMIC is designed to store and display somatic mutation information and related details and contains information relating to human cancers. |
Ensembl | Including Gene expression database, SNP database and ENCODE (Encyclopedia of DNA Elements (ENCODE) Consortium) *The Encyclopedia of DNA Elements (ENCODE) Consortium is an international collaboration of research groups funded by the National Human Genome Research Institute (NHGRI) |
RefSeq: NCBI Reference Sequence Database | A comprehensive, integrated, non-redundant, well-annotated set of reference sequences including genomic, transcript, and protein. |
ExPASy | ExPASy is the SIB Bioinformatics Resource Portal which provides access to scientific databases and software tools (i.e., resources) in different areas of life sciences including proteomics, genomics, phylogeny, systems biology, population genetics, transcriptomics etc. On this portal you find resources from many different SIB groups as well as external institutions. |
SMART | SMART (a Simple Modular Architecture Research Tool) allows the identification and annotation of genetically mobile domains and the analysis of domain architectures. More than 500 domain families found in signalling, extracellular and chromatin-associated proteins are detectable. These domains are extensively annotated with respect to phyletic distributions, functional class, tertiary structures and functionally important residues. Each domain found in a non-redundant protein database as well as search parameters and taxonomic information are stored in a relational database system. User interfaces to this database allow searches for proteins containing specific combinations of domains in defined taxa. For all the details, please refer to the publications on SMART. |
BioPharma Insight | BioPharm Insight is your definitive guide to the global life sciences community, combining an online business intelligence system of comprehensive market analytics and key industry contacts with an independent investigative journalism news service. |
GlobalData | GlobalData is the premier source of actionable insight into the energy and healthcare industries. With the combined expertise of more than 1,000 researchers, market analysts and consultants, we provide high-quality, accurate and transparent industry insight that helps our clients to achieve growth and increase business value. |
GEN | Genetic Engineering & Biotechnology News (GEN) has retained its position as the premier biotech publication since its launch in 1981. GEN publishes a print edition 21 times a year and has additional exclusive editorial content online, including news and analysis as well as webinars, videos, and polls. GEN's unique news and technology focus covers the entire bioproduct life cycle, including drug discovery, early-stage R&D, applied research (e.g., omics, biomarkers, and diagnostics), bioprocessing, and commercialization. |
Phys Org: Biology news | |
海峽生技醫藥品風雲 | |
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歡迎有熱情 有想法的碩博生 專題生加入我們的行列 | ||||
誠徵博士後研究員 碩士級專任研究助理 | ||||
THE WORLD OF DRUG DISCOVERY, | ||||
FUNCTION BIOINFORMATICS AND SYSTEMS BIOLOGY. | ||||
楊進木 教授 03-5712121 #56942 (Lab: #56946) moon@faculty.nctu.edu.tw 賢齊館 415-1 室 |
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研究內容
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![]() 發現四環抗生素對 |
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