Multi-Target Drug Design Using Chem-Bioinformatic Approaches

<p>Cheminformatics Approaches to Study Drug Polypharmacology.- Computational Predictions for Multi-Target Drug Design.- Computational Multi-Target Drug Design.- Multi-Target Drug Design for Neurodegenerative Diseases.- Molecular Docking Studies in Multi-Target Antitubercular Drug Discovery.- Advanced Chemometric Modeling Approaches for the Design of Multi-Target Drugs against Neurodegenerative Diseases.- Computational Studies on Natural Products for the Development of Multi-Target Drugs.- Computational Design of Multi-Target Drugs against Alzheimer’s Disease.- Design of Multi-Target Directed Ligands as a Modern Approach for the Development of Innovative Drug Candidates for Alzheimer’s Disease.- Virtual Screening for Dual Hsp90/B-Raf Inhibitors.- Strategies for Multi-Target Directed Ligands: Application in Alzheimer's Disease (AD) Therapeutics.- Computational Design of Multi-Target Kinase Inhibitors.- Proteochemometrics for the Prediction of Peptide Binding to Multiple HLAClass II Proteins.- Linked Open Data: Ligand-Transporter Interaction Profiling and Beyond.- Design of Novel Dual Target Hits against Malaria and Tuberculosis Using Computational Docking.- Computational Design of Multi-Target Drugs against Breast Cancer.- Computational Methods for Multi-Target Drug Designing against Mycobacterium tuberculosis.-&nbsp;Development of a Web-Server for Identification of Common Lead Molecules for Multiple Protein Targets.- Computational Method for Prediction of Targets for Breast Cancer Using siRNAs Approach.- Historeceptomics:&nbsp; Integrating a Drug's Multiple Targets (Polypharmacology) with Their Expression Pattern in Human Tissues.- Networking of Smart Drugs: A Chem-Bioinformatic Approach to Cancer Treatment.</p>