May 22, 2024, 4:30 a.m. | Sana Hassan

MarkTechPost www.marktechpost.com

While significant strides have been made in predicting static protein structures, understanding protein dynamics, influenced by ligands, is essential for grasping protein function and advancing drug discovery. Traditional docking methods often treat proteins as rigid, limiting their accuracy. Although molecular dynamics simulations can suggest relevant protein conformations, they are computationally intensive. Recent advances, such as […]


The post DynamicBind: A Deep Learning Approach for Dynamic Protein-Ligand Docking and Drug Discovery appeared first on MarkTechPost.

accuracy ai paper summary ai shorts applications artificial intelligence deep learning discovery drug discovery dynamic dynamics editors pick function grasping ligands molecular dynamics protein proteins protein structures simulations staff tech news technology understanding while

More from www.marktechpost.com / MarkTechPost

Senior Data Engineer

@ Displate | Warsaw

Engineer III, Back-End Server (mult.)

@ Samsung Electronics | 645 Clyde Avenue, Mountain View, CA, USA

Senior Product Security Engineer - Cyber Security Researcher

@ Boeing | USA - Arlington, VA

Senior Manager, Software Engineering, DevOps

@ Capital One | Richmond, VA

PGIM Quantitative Solutions, Investment Multi-Asset Research (Hybrid)

@ Prudential Financial | Prudential Tower, 655 Broad Street, Newark, NJ

Cyber Security Engineer

@ HP | FTC02 - Fort Collins, CO East Link (FTC02)