Research Articles
Machine Learning Accelerated Pharmacophore Virtual Screening: Revolutionizing Early Drug Discovery
This article explores the transformative integration of machine learning (ML) with pharmacophore-based virtual screening (VS) to overcome critical bottlenecks in early drug discovery.
Enhancing Pharmacophore Models: Strategies for Superior Specificity and Selectivity in Drug Discovery
This article provides a comprehensive guide for researchers and drug development professionals on advancing pharmacophore model specificity and selectivity.
Optimizing Exclusion Volume Placement in Structure-Based Pharmacophores: A Guide for Enhanced Virtual Screening and Drug Design
Structure-based pharmacophores are powerful tools in computer-aided drug discovery for identifying novel lead compounds.
Resolving Poor Enrichment in Pharmacophore Virtual Screening: A Strategic Guide for Drug Discovery Scientists
This article provides a comprehensive guide for researchers and drug development professionals facing the common yet critical challenge of poor enrichment in pharmacophore-based virtual screening.
Strategies to Minimize False Positives in Pharmacophore-Based Virtual Screening
This article provides a comprehensive guide for researchers and drug development professionals on addressing the pervasive challenge of false positives in pharmacophore-based virtual screening.
Pharmacophore-Based Screening for Antimicrobial Drug Discovery: A Computational Strategy Against Resistance
This article provides a comprehensive overview of pharmacophore-based virtual screening (PBVS) and its pivotal role in addressing the global crisis of antimicrobial resistance (AMR).
Synergistic Strategies: Integrating Pharmacophore Modeling with Molecular Docking to Revolutionize Virtual Screening in Drug Discovery
This article provides a comprehensive overview of the integrated approach of pharmacophore-based virtual screening (PBVS) and docking-based virtual screening (DBVS) in modern drug discovery.
Best Practices for Pharmacophore Model Validation: A Comprehensive Guide for Drug Discovery
This article provides a comprehensive guide to pharmacophore model validation, a critical step in ensuring the predictive power and reliability of computer-aided drug design.
Ensemble Pharmacophore Modeling: A Flexible Approach for Targeting Dynamic Binding Sites in Drug Discovery
This article provides a comprehensive overview of ensemble pharmacophore modeling, a powerful computational strategy that addresses the challenge of protein flexibility in structure-based drug design.
Structure-Based Pharmacophore Modeling in Discovery Studio: A Comprehensive Guide for Drug Discovery
This article provides a comprehensive guide to structure-based pharmacophore generation using BIOVIA Discovery Studio, a leading software platform in computer-aided drug design.