Multi-Target Drug Design Using Chem-Bioinformatic Approaches

TRAMA

This detailed book showcases recent advances in computational design of multi-target drug candidates involving various ligand and structure-based strategies. Different chem-bioinformatic modeling strategies that can be applied for design of multi-target drugs as well as important databases and web servers in connection with multi-target drug design are also featured in this collection. Written for the Methods in Pharmacology and Toxicology series, chapters include the kind of key implementation advice that will aid researchers greatly in their laboratory pursuits. Authoritative and practical, Multi-Target Drug Design Using Chem-Bioinformatic Approaches seeks to aid all scientists working in the field of drug discovery research.

SOMMARIO

Part I: Chem-Bioinformatic Tools   1. Cheminformatics Approaches to Study Drug Polypharmacology             J. Jesús Naveja, Fernanda I. Saldívar-González, Norberto Sánchez-Cruz, and José L. Medina-Franco   2. Computational Predictions for Multi-Target Drug Design             Neelima Gupta, Prateek Pandya, and Seema Verma   3. Computational Multi-Target Drug Design             Azizeh Abdolmaleki, Fereshteh Shiri, and Jahan Ghasemi   Part II: Computational Multi-Target Drug Design: Literature Reviews   4. Multi-Target Drug Design for Neurodegenerative Diseases             Marco Catto, Daniela Trisciuzzi, Domenico Alberga, Giuseppe Felice Mangiatordi, and Orazio Nicolotti   5. Molecular Docking Studies in Multi-Target Antitubercular Drug Discovery             Jéssika de Oliveira Viana, Marcus T. Scotti, and Luciana Scotti   6. Advanced Chemometric Modeling Approaches for the Design of Multi-Target Drugs against Neurodegenerative Diseases             Amit Kumar Halder, Ana S. Moura, and M. Nata´lia Dias Soeiro Cordeiro   7. Computational Studies on Natural Products for the Development of Multi-Target Drugs             Veronika Temml and Daniela Schuster   8. Computational Design of Multi-Target Drugs against Alzheimer’s Disease             Sotirios Katsamakas and Dimitra Hadjipavlou-Litina   9. Design of Multi-Target Directed Ligands as a Modern Approach for the Development of Innovative Drug Candidates for Alzheimer’s Disease             Cindy Juliet Cristancho Ortiz, Matheus de Freitas Silva, Vanessa Silva Gontijo, Flávia Pereira Dias Viegas, Kris Simone Tranches Dias, and Claudio Viegas Jr.   Part III: Case Studies   10. Virtual Screening for Dual Hsp90/B-Raf Inhibitors             Andrew Anighoro, Luca Pinzi, Giulio Rastelli, and Jürgen Bajorath   11. Strategies for Multi-Target Directed Ligands: Application in Alzheimer's Disease (AD) Therapeutics             Sucharita Das and Soumalee Basu   12. Computational Design of Multi-Target Kinase Inhibitors             Sinoy Sugunan and Rajanikant G.K.   13. Proteochemometrics for the Prediction of Peptide Binding to Multiple HLA Class II Proteins             Ivan Dimitrov, Ventsislav Yordanov, Darren R. Flower, and Irini Doytchinova   14. Linked Open Data: Ligand-Transporter Interaction Profiling and Beyond             Stefanie Kickinger, Eva Hellsberg, Sankalp Jain, and Gerhard F. Ecker   15. Design of Novel Dual Target Hits against Malaria and Tuberculosis Using Computational Docking             Manoj Kumar and Anuj Sharma   16. Computational Design of Multi-Target Drugs against Breast Cancer             Shubhandra Tripathi, Gaurava Srivastava, and Ashok Sharma   17. Computational Methods for Multi-Target Drug Designing against Mycobacterium tuberculosis             Gaurava Srivastava, Ashish Tiwari, and Ashok Sharma   Part IV: Databases and Web Servers   18. Development of a Web-Server for Identification of Common Lead Molecules for Multiple Protein Targets             Abhilash Jayaraj, Ruchika Bhat, Amita Pathak, Manpreet Singh, and B. Jayaram   19. Computational Method for Prediction of Targets for Breast Cancer Using siRNAs Approach             Atul Tyagi, Mukti N. Mishra, and Ashok Sharma   Part V: Special Topics   20. Historeceptomics:  Integrating a Drug's Multiple Targets (Polypharmacology) with Their Expression Pattern in Human Tissues             Timothy Cardozo   21. Networking of Smart Drugs: A Chem-Bioinformatic Approach to Cancer Treatment             Kavindra Kumar Kesari, Qazi Mohammad Sajid Jamal, Mohd. Haris Siddiqui, and Jamal Mohammad Arif

AUTORE

Dr. Kunal Roy is a Professor in the Department of Pharmaceutical Technology, Jadavpur University, Kolkata, India. He has been a recipient of Commonwealth Academic Staff Fellowship (University of Manchester, 2007) and Marie Curie International Incoming Fellowship (University of Manchester, 2013). The field of his research interest is QSAR and Molecular Modeling with application in Drug Design and Ecotoxicological Modeling. Dr. Roy has published more than 280 research articles in refereed journals (current SCOPUS h index 37). He has also coauthored two QSAR-related books, edited three QSAR books and published ten book chapters. Dr. Roy serves in different capacities in the Editorial Boards of several International Journals.

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9781493987320
• Collana: Methods in Pharmacology and Toxicology
• Dimensioni: 254 x 178 mm Ø 1290 gr
• Formato: Copertina rigida
• Illustration Notes: XVI, 563 p. 100 illus., 90 illus. in color. With online files/update.
• Pagine Arabe: 563
• Pagine Romane: xvi