Vargas-Rosales P, Caflisch A
RSC Med Chem. 2025; .
PMID: 39906313
PMC: 11788922.
DOI: 10.1039/d4md00869c.
Fu L, Gao Y, Chen Y, Wang Y, Fang X, Tian S
ACS Synth Biol. 2024; 13(11):3782-3787.
PMID: 39508099
PMC: 11574941.
DOI: 10.1021/acssynbio.4c00588.
Stahl K, Warneke R, Demann L, Bremenkamp R, Hormes B, Brock O
Nat Commun. 2024; 15(1):7866.
PMID: 39251624
PMC: 11383924.
DOI: 10.1038/s41467-024-51771-2.
Zitnik M, Li M, Wells A, Glass K, Morselli Gysi D, Krishnan A
Bioinform Adv. 2024; 4(1):vbae099.
PMID: 39143982
PMC: 11321866.
DOI: 10.1093/bioadv/vbae099.
Kovalevskiy O, Mateos-Garcia J, Tunyasuvunakool K
Proc Natl Acad Sci U S A. 2024; 121(34):e2315002121.
PMID: 39133843
PMC: 11348012.
DOI: 10.1073/pnas.2315002121.
Improving transparency of computational tools for variant effect prediction.
Karchin R, Radivojac P, ODonnell-Luria A, Greenblatt M, Tolstorukov M, Sonkin D
Nat Genet. 2024; 56(7):1324-1326.
PMID: 38956207
PMC: 11330584.
DOI: 10.1038/s41588-024-01821-8.
Machine learning in drug delivery.
Gormley A
J Control Release. 2024; 373:23-30.
PMID: 38909704
PMC: 11384327.
DOI: 10.1016/j.jconrel.2024.06.045.
Learnt representations of proteins can be used for accurate prediction of small molecule binding sites on experimentally determined and predicted protein structures.
Carbery A, Buttenschoen M, Skyner R, von Delft F, Deane C
J Cheminform. 2024; 16(1):32.
PMID: 38486231
PMC: 10941399.
DOI: 10.1186/s13321-024-00821-4.
Advances in machine-learning approaches to RNA-targeted drug design.
Zhou Y, Chen S
Artif Intell Chem. 2024; 2(1).
PMID: 38434217
PMC: 10904028.
DOI: 10.1016/j.aichem.2024.100053.
Recent Progress of Protein Tertiary Structure Prediction.
Wuyun Q, Chen Y, Shen Y, Cao Y, Hu G, Cui W
Molecules. 2024; 29(4).
PMID: 38398585
PMC: 10893003.
DOI: 10.3390/molecules29040832.
CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods.
Genome Biol. 2024; 25(1):53.
PMID: 38389099
PMC: 10882881.
DOI: 10.1186/s13059-023-03113-6.
Machine learning in RNA structure prediction: Advances and challenges.
Zhang S, Li J, Chen S
Biophys J. 2024; 123(17):2647-2657.
PMID: 38297836
PMC: 11393687.
DOI: 10.1016/j.bpj.2024.01.026.
Protein quality assessment with a loss function designed for high-quality decoys.
Roy S, Ben-Hur A
Front Bioinform. 2023; 3:1198218.
PMID: 37915563
PMC: 10616882.
DOI: 10.3389/fbinf.2023.1198218.
NUScon: a community-driven platform for quantitative evaluation of nonuniform sampling in NMR.
Pustovalova Y, Delaglio F, Craft D, Arthanari H, Bax A, Billeter M
Magn Reson (Gott). 2023; 2(2):843-861.
PMID: 37905225
PMC: 10583271.
DOI: 10.5194/mr-2-843-2021.
Tertiary structure assessment at CASP15.
Simpkin A, Mesdaghi S, Sanchez Rodriguez F, Elliott L, Murphy D, Kryshtafovych A
Proteins. 2023; 91(12):1616-1635.
PMID: 37746927
PMC: 10792517.
DOI: 10.1002/prot.26593.
AlphaFold developers Demis Hassabis and John Jumper share the 2023 Albert Lasker Basic Medical Research Award.
Sosnick T
J Clin Invest. 2023; .
PMID: 37731359
PMC: 10702591.
DOI: 10.1172/JCI174915.
Precision Oncology Comes of Age: Designing Best-in-Class Small Molecules by Integrating Two Decades of Advances in Chemistry, Target Biology, and Data Science.
Stuart D, Guzman-Perez A, Brooijmans N, Jackson E, Kryukov G, Friedman A
Cancer Discov. 2023; 13(10):2131-2149.
PMID: 37712571
PMC: 10551669.
DOI: 10.1158/2159-8290.CD-23-0280.
When will RNA get its AlphaFold moment?.
Schneider B, Sweeney B, Bateman A, cerny J, Zok T, Szachniuk M
Nucleic Acids Res. 2023; 51(18):9522-9532.
PMID: 37702120
PMC: 10570031.
DOI: 10.1093/nar/gkad726.
A structural classification of the variant surface glycoproteins of the African trypanosome.
dakovic S, Zeelen J, Gkeka A, Chandra M, van Straaten M, Foti K
PLoS Negl Trop Dis. 2023; 17(9):e0011621.
PMID: 37656766
PMC: 10501684.
DOI: 10.1371/journal.pntd.0011621.
Petascale Homology Search for Structure Prediction.
Lee S, Kim G, Levy Karin E, Mirdita M, Park S, Chikhi R
bioRxiv. 2023; .
PMID: 37503235
PMC: 10369885.
DOI: 10.1101/2023.07.10.548308.