Research [ASAP] MolXProt: A Cross-Attention Transformer-Based Graph Neural Network for Protein-Ligand Binding Affinity Prediction LikeLiked Date: May 4, 2026 Less than 1 MinRead Views: 8 Journal of Chemical Theory and Computation DOI: 10.1021/acs.jctc.6c00026 Source: http://dx.doi.org/10.1021/acs.jctc.6c00026 Tags:AMaterials Industry FacebookTwitterLinkedinWhatsAppTelegramEmail ALT-Lab-Ad-1ALT-Lab-Ad-2ALT-Lab-Ad-3ALT-Lab-Ad-4ALT-Lab-Ad-5ALT-Lab-Ad-6ALT-Lab-Ad-7ALT-Lab-Ad-8ALT-Lab-Ad-9ALT-Lab-Ad-10ALT-Lab-Ad-11ALT-Lab-Ad-12ALT-Lab-Ad-13 Recent Articles VCI Packaging for the Canadian Automotive Industry: How to Protect Metal Parts from Corrosion Packaging June 26, 2026 Ontario Agricultural Hall of Fame inducts five who helped shape sector Food & Agriculture June 26, 2026 AI-guided microneedle patch changes shape to heal chronic wounds Materials & Chemicals June 26, 2026 Plasma and graphene combine to protect metal surfaces from corrosion Materials & Chemicals June 26, 2026 Glass cells of atoms offer a new path to smarter, cheaper sensors Materials & Chemicals June 26, 2026 Etching reconstruction of ultrathin layered NiFe-hydroxide: building synergistic VFe(III)/Ni(III) active structures for an efficient urea oxidation reaction Research June 26, 2026 A corrosion-resistant green ionic liquid achieves near-zero wear at the interface with engineering steel Research June 26, 2026 Packaging June 26, 2026 “The End Game?” The End of What? Organized Society? Electric Vehicles June 26, 2026 How A Weekend At Omega Institute Restored Me (2026 Review) Lifestyle June 26, 2026 Load more
