This article provides a comprehensive overview of the transformative impact of machine learning (ML) and artificial intelligence (AI) on biomarker discovery for researchers, scientists, and drug development professionals.
This article provides a comprehensive overview of AlphaFold2 (AF2), the artificial intelligence system that has transformed computational biology by predicting protein structures from amino acid sequences with atomic-level accuracy.
This article provides a comprehensive guide to molecular dynamics (MD) simulation protocols, tailored for researchers, scientists, and professionals in drug development.
This guide provides a comprehensive roadmap for researchers, scientists, and drug development professionals to launch a successful career in computational genomics.
This article provides a comprehensive overview of molecular dynamics (MD) simulations, a powerful computational tool that reveals atomic-level details of biomolecular processes critical for drug discovery.
Artificial intelligence is fundamentally restructuring research paradigms across the biological sciences, enabling a shift from experience-driven to data-algorithm symbiosis.
This article provides researchers, scientists, and drug development professionals with a comprehensive introduction to systems biology modeling, covering foundational concepts, methodological approaches, troubleshooting strategies, and validation techniques.
This article provides a comprehensive primer for researchers, scientists, and drug development professionals embarking on their journey in computational biology.
This article provides a comprehensive guide for researchers and drug development professionals on the distinct yet complementary roles of computational biology and bioinformatics.
Foundation Models (FMs) are instigating a paradigm shift in bioinformatics, offering powerful solutions to long-standing challenges such as limited annotated data and high data noise.