Atom-level Protein Representation Learning Improves Protein Structure Prediction
Taewon Kim, Hyosoon Jang, Hyunjin Seo, Seonghwan Seo, Hyeongwoo Kim, Wonho Zhung, Mingyeong Shin, Wooyoun Kim, Sungsoo Ahn
https://t.co/BoZx76DZ4p [𝚚-𝚋𝚒𝚘.𝙱𝙼 𝚌𝚜.𝙰𝙸]
Deep-time consistency in proteome elemental composition across cellular and viral life
L. Felipe Benites, Louie Slocombe, Sara I. Walker
https://t.co/u9mDUpjhrd [𝚚-𝚋𝚒𝚘.𝙱𝙼 𝚚-𝚋𝚒𝚘.𝙿𝙴]
Elemental Stoichiometry as an Ecological Biosignature with Applications to Life Detection
Pilar C. Vergeli, Cole Mathis, John F. Malloy, L. Felipe Benites, Christopher P. Kempes, …
https://t.co/NUIhyVC6sD [𝚚-𝚋𝚒𝚘.𝙱𝙼 𝚊𝚜𝚝𝚛𝚘-𝚙𝚑.𝙴𝙿 𝚚-𝚋𝚒𝚘.𝙼𝙽]
Detection of residual native state entropy changes upon mutation in Fyn SH3
Kresten Lindorff-Larsen, Robert B. Best, Anthony Mittermaier, Lewis E. Kay, Christopher M. Dobson, Michele Vendruscolo
https://t.co/Mqij7x21st [𝚚-𝚋𝚒𝚘.𝙱𝙼]
Frequency-Space Mechanics: A Sequence and Coordinate-Free Representation for Protein Function Prediction
Charles B Reilly
https://t.co/WClQYQ2Dur [𝚚-𝚋𝚒𝚘.𝙱𝙼 𝚚-𝚋𝚒𝚘.𝚀𝙼]
Yeti: A compact protein structure tokenizer for reconstruction and multi-modal generation
Nabin Giri, Steven Farrell, Kristofer E. Bouchard
https://t.co/J9Kyi1UetE [𝚚-𝚋𝚒𝚘.𝙱𝙼 𝚌𝚜.𝙰𝙸]
A putative, computationally stable structure of homotrimeric BP180/collagen XVII
Congzhou M Sha
https://t.co/xKAELzAomO [𝚚-𝚋𝚒𝚘.𝙱𝙼 𝚙𝚑𝚢𝚜𝚒𝚌𝚜.𝚋𝚒𝚘-𝚙𝚑 𝚙𝚑𝚢𝚜𝚒𝚌𝚜.𝚌𝚘𝚖𝚙-𝚙𝚑 𝚚-𝚋𝚒𝚘.𝚀𝙼]
Enhancing Cryo-EM Density Map Segmentation in Phenix for Improved Atomic Model Building
Chenwei Zhang
https://t.co/q7q90k6haJ [𝚚-𝚋𝚒𝚘.𝙱𝙼 𝚌𝚘𝚗𝚍-𝚖𝚊𝚝.𝚖𝚝𝚛𝚕-𝚜𝚌𝚒 𝚌𝚜.𝙰𝙸 𝚚-𝚋𝚒𝚘.𝚀𝙼]
AgenticPosesRanker: An Agentic AI Framework for Physically Grounded Ranking of Protein-Ligand Docking Poses
Sofiene Khiari, Amr H. Mahmoud, Markus A. Lill
https://t.co/rfFqDTu0Wh [𝚚-𝚋𝚒𝚘.𝙱𝙼]
Complex Effects of Salt on Small-Angle X-ray Scattering of BSA Originate From the Interplay of Ions and Hydration Water
Anshika Dhiman, Sanbo Qin, Huan-Xiang Zhou
https://t.co/l8cQY241ev [𝚚-𝚋𝚒𝚘.𝙱𝙼 𝚌𝚘𝚗𝚍-𝚖𝚊𝚝.𝚜𝚘𝚏𝚝]
Learning Structure, Energy, and Dynamics: A Survey of Artificial Intelligence for Protein Dynamics
Haocheng Tang, Liang Shi, Ya-Shi Zhang, Xixian Liu, Jian Tang, Jiarui Lu
https://t.co/E3j4Y5J9gP [𝚚-𝚋𝚒𝚘.𝙱𝙼 𝚌𝚜.𝙻𝙶]
Boltzmann Machine Learning with a Parallel, Persistent Markov chain Monte Carlo method for Estimating Evolutionary Fields and Couplings from a Protein Multiple Sequence Alignment
https://t.co/O3fLy060SK [𝚚-𝚋𝚒𝚘.𝙱𝙼 𝚌𝚘𝚗𝚍-𝚖𝚊𝚝.𝚜𝚝𝚊𝚝-𝚖𝚎𝚌𝚑 𝚌𝚜.𝙻𝙶 𝚜𝚝𝚊𝚝.𝙼𝙻]