Channel: Protein structure and AI

Inspired by: AlphaFold

The application of artificial intelligence to the study of protein structures.

2023 Articles

25 684 articles

Undersampling and the inference of coevolution in proteins

  • Yaakov Kleeorin, William P Russ, Olivier Rivoire, …, William P Russ, Olivier Rivoire, Rama Ranganathan
  • Cell Syst, 10.1016/j.cels.2022.12.013
Comment Section

AlphaFold and the future of structural biology

  • Randy J Read, Edward N Baker, Charles S Bond, …, Charles S Bond, Elspeth F Garman, Mark J van Raaij
  • Acta Crystallogr D Struct Biol, 10.1107/s2059798323004928
Comment Section

AlphaFold and the future of structural biology

  • Randy J Read, Edward N Baker, Charles S Bond, …, Charles S Bond, Elspeth F Garman, Mark J van Raaij
  • Acta Crystallogr F Struct Biol Commun, 10.1107/s2053230x23004934
Comment Section

Ion channel chameleons: Switching ion selectivity by alternative splicing

  • Allen L Hsu, Manu Ben-Johny, Allen L Hsu, …, Manu Ben-Johny, Allen L Hsu, Manu Ben-Johny
  • J Biol Chem, 10.1016/j.jbc.2023.102946
Comment Section

Evolutionary selection of proteins with two folds

  • Joseph W Schafer, Lauren L Porter, Joseph W Schafer, Lauren L Porter, Joseph W Schafer, Lauren L Porter
  • bioRxiv : the preprint server for biology, 10.1101/2023.01.18.524637
Comment Section

Computational Resources for Molecular Biology 2023

  • David H Mathews, Rita Casadio, Michael J E Sternberg, …, David H Mathews, Rita Casadio, Michael J E Sternberg
  • J Mol Biol, 10.1016/j.jmb.2023.168160
Comment Section

Combining phylogeny and coevolution improves the inference of interaction partners among paralogous proteins

  • Carlos A Gandarilla-Pérez, Sergio Pinilla, Anne-Florence Bitbol, …, Sergio Pinilla, Anne-Florence Bitbol, Martin Weigt
  • PLoS Comput Biol, 10.1371/journal.pcbi.1011010
Comment Section

Generative power of a protein language model trained on multiple sequence alignments

  • Damiano Sgarbossa, Umberto Lupo, Anne-Florence Bitbol, …, Damiano Sgarbossa, Umberto Lupo, Anne-Florence Bitbol
  • Elife, 10.7554/elife.79854
Comment Section

Functional Protein Dynamics Directly from Sequences

  • Kejue Jia, Mesih Kilinc, Robert L Jernigan, …, Kejue Jia, Mesih Kilinc, Robert L Jernigan
  • J Phys Chem B, 10.1021/acs.jpcb.2c05766
Comment Section

Impact of phylogeny on structural contact inference from protein sequence data

  • Nicola Dietler, Umberto Lupo, Anne-Florence Bitbol, …, Nicola Dietler, Umberto Lupo, Anne-Florence Bitbol
  • J R Soc Interface, 10.1098/rsif.2022.0707
Comment Section

2022 Articles

2 545 articles

Editorial: Machine learning, epistasis, and protein engineering: From sequence-structure-function relationships to regulation of metabolic pathways

  • Frederic Cadet, Emma Saavedra, Per-Olof Syren, …, Emma Saavedra, Per-Olof Syren, Brigitte Gontero
  • None, 10.3389/fmolb.2022.1098289
Comment Section

State-of-the-Art Estimation of Protein Model Accuracy Using AlphaFold

  • James P Roney, Sergey Ovchinnikov, James P Roney, Sergey Ovchinnikov, James P Roney, Sergey Ovchinnikov
  • Phys Rev Lett, 10.1103/physrevlett.129.238101
Comment Section

The curse of the protein ribbon diagram

Comment Section

The COMER web server for protein analysis by homology

  • Justas Dapkūnas, Mindaugas Margelevičius, Justas Dapkūnas, …, Mindaugas Margelevičius, Justas Dapkūnas, Mindaugas Margelevičius
  • Bioinformatics, 10.1093/bioinformatics/btac807
Comment Section

DPAM: A domain parser for AlphaFold models

  • Jing Zhang, R Dustin Schaeffer, Jesse Durham, …, Jesse Durham, Qian Cong, Nick V Grishin
  • Protein Sci, 10.1002/pro.4548
Comment Section

Accurate protein stability predictions from homology models

  • Audrone Valanciute, Lasse Nygaard, Henrike Zschach, …, Michael Maglegaard Jepsen, Kresten Lindorff-Larsen, Amelie Stein
  • None, 10.1016/j.csbj.2022.11.048
Comment Section

Deep embedding and alignment of protein sequences

  • Felipe Llinares-López, Quentin Berthet, Mathieu Blondel, …, Mathieu Blondel, Olivier Teboul, Jean-Philippe Vert
  • Nat Methods, 10.1038/s41592-022-01700-2
Comment Section

Entropy and Variability: A Second Opinion by Deep Learning

  • Daniel T Rademaker, Li C Xue, Peter A C ‘t Hoen, …, Li C Xue, Peter A C ‘t Hoen, Gert Vriend
  • Biomolecules, 10.3390/biom12121740
Comment Section

Novel machine learning approaches revolutionize protein knowledge

  • Nicola Bordin, Christian Dallago, Michael Heinzinger, …, Martin Steinegger, Burkhard Rost, Christine Orengo
  • Trends Biochem Sci, 10.1016/j.tibs.2022.11.001
Comment Section

Prediction and verification of glycosyltransferase activity by bioinformatics analysis and protein engineering

  • Dietlind L Gerloff, Elena I Ilina, Camille Cialini, …, Uxue Mata Salcedo, Michel Mittelbronn, Tanja Müller
  • STAR Protoc, 10.1016/j.xpro.2022.101905
Comment Section