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
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.
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.