Research Articles
From Molecule to Mechanism: Advanced Strategies to Improve Natural Product Target Prediction Accuracy in Drug Discovery
This article provides a comprehensive overview of contemporary strategies to enhance the accuracy of target prediction for natural products (NPs), a critical bottleneck in modern drug discovery.
Beyond Imputation: A Strategic Guide to Missing Data in Multi-Omics Integration
Missing data is a pervasive and non-trivial challenge in multi-omics studies, frequently arising from technical limitations, cost constraints, or biological factors, and can severely compromise integrated analyses if mishandled [citation:3].
Optimizing Molecular Docking for Bioactive Analogs: A Computational Guide for Accelerated Natural Product Discovery
This article provides a comprehensive guide for researchers and drug development professionals on optimizing molecular docking workflows specifically for structurally related natural compounds and their analogs.
AI-Driven Feature Enhancement in Network Pharmacology: Advanced Techniques for Multi-Target Drug Discovery
This article provides a comprehensive exploration of cutting-edge feature enhancement techniques in network pharmacology, a paradigm-shifting approach in drug discovery.
Building the Bedrock for Future Drug Discovery: A Framework for AI-Driven Data Standardization in Natural Product Research
This article provides a comprehensive roadmap for implementing robust data standardization to unlock the full potential of Artificial Intelligence (AI) in natural product research.
Unlocking the Black Box: A 2025 Guide to Interpretable AI in Pharmacology
As artificial intelligence reshapes drug discovery and development, the 'black box' nature of complex models has emerged as a critical bottleneck for regulatory approval, clinical translation, and scientific trust.
Decoding the Black Box: Achieving Transparency and Trust in AI-Driven Drug Discovery
This article provides a comprehensive analysis of the 'black box' problem in AI for drug discovery, addressing the critical need for transparency among researchers and development professionals.
Beyond the Black Box: Solving AI Pharmacology's Data Dilemma for Smarter Drug Development
This article provides a comprehensive analysis for researchers and drug development professionals on overcoming the critical data limitations hindering AI pharmacology models.
Harnessing Generative AI for De Novo Design of Natural Product Derivatives: A New Frontier in Drug Discovery
This article explores the transformative role of artificial intelligence (AI) in the de novo design of natural product-derived molecules for drug discovery.
Unlocking Drug Discovery: How Natural Language Processing Transforms Pharmacological Data Mining
This article provides a comprehensive overview for researchers, scientists, and drug development professionals on the transformative role of Natural Language Processing (NLP) in mining pharmacological data.