160 related articles for article (PubMed ID: 38507445)
1. Single-sequence protein structure prediction by integrating protein language models.
Jing X; Wu F; Luo X; Xu J
Proc Natl Acad Sci U S A; 2024 Mar; 121(13):e2308788121. PubMed ID: 38507445
[TBL] [Abstract][Full Text] [Related]
2. Improved structure-related prediction for insufficient homologous proteins using MSA enhancement and pre-trained language model.
Meng Q; Guo F; Tang J
Brief Bioinform; 2023 Jul; 24(4):. PubMed ID: 37321965
[TBL] [Abstract][Full Text] [Related]
3. Improving protein structure prediction using templates and sequence embedding.
Wu F; Jing X; Luo X; Xu J
Bioinformatics; 2023 Jan; 39(1):. PubMed ID: 36355462
[TBL] [Abstract][Full Text] [Related]
4. Integrating deep learning, threading alignments, and a multi-MSA strategy for high-quality protein monomer and complex structure prediction in CASP15.
Zheng W; Wuyun Q; Freddolino PL; Zhang Y
Proteins; 2023 Dec; 91(12):1684-1703. PubMed ID: 37650367
[TBL] [Abstract][Full Text] [Related]
5. Analysis of distance-based protein structure prediction by deep learning in CASP13.
Xu J; Wang S
Proteins; 2019 Dec; 87(12):1069-1081. PubMed ID: 31471916
[TBL] [Abstract][Full Text] [Related]
6. Improved the heterodimer protein complex prediction with protein language models.
Chen B; Xie Z; Qiu J; Ye Z; Xu J; Tang J
Brief Bioinform; 2023 Jul; 24(4):. PubMed ID: 37328552
[TBL] [Abstract][Full Text] [Related]
7. Improving deep learning protein monomer and complex structure prediction using DeepMSA2 with huge metagenomics data.
Zheng W; Wuyun Q; Li Y; Zhang C; Freddolino PL; Zhang Y
Nat Methods; 2024 Feb; 21(2):279-289. PubMed ID: 38167654
[TBL] [Abstract][Full Text] [Related]
8. Pairing interacting protein sequences using masked language modeling.
Lupo U; Sgarbossa D; Bitbol AF
Proc Natl Acad Sci U S A; 2024 Jul; 121(27):e2311887121. PubMed ID: 38913900
[TBL] [Abstract][Full Text] [Related]
9. Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model.
Wang S; Sun S; Li Z; Zhang R; Xu J
PLoS Comput Biol; 2017 Jan; 13(1):e1005324. PubMed ID: 28056090
[TBL] [Abstract][Full Text] [Related]
10. Single-sequence protein structure prediction using a language model and deep learning.
Chowdhury R; Bouatta N; Biswas S; Floristean C; Kharkar A; Roy K; Rochereau C; Ahdritz G; Zhang J; Church GM; Sorger PK; AlQuraishi M
Nat Biotechnol; 2022 Nov; 40(11):1617-1623. PubMed ID: 36192636
[TBL] [Abstract][Full Text] [Related]
11. A Web-Based Protocol for Interprotein Contact Prediction by Deep Learning.
Jing X; Zeng H; Wang S; Xu J
Methods Mol Biol; 2020; 2074():67-80. PubMed ID: 31583631
[TBL] [Abstract][Full Text] [Related]
12. Prior knowledge facilitates low homologous protein secondary structure prediction with DSM distillation.
Wang Q; Wei J; Zhou Y; Lin M; Ren R; Wang S; Cui S; Li Z
Bioinformatics; 2022 Jul; 38(14):3574-3581. PubMed ID: 35652719
[TBL] [Abstract][Full Text] [Related]
13. Protein complex structure prediction powered by multiple sequence alignments of interologs from multiple taxonomic ranks and AlphaFold2.
Si Y; Yan C
Brief Bioinform; 2022 Jul; 23(4):. PubMed ID: 35649388
[TBL] [Abstract][Full Text] [Related]
14. Protein contact prediction by integrating joint evolutionary coupling analysis and supervised learning.
Ma J; Wang S; Wang Z; Xu J
Bioinformatics; 2015 Nov; 31(21):3506-13. PubMed ID: 26275894
[TBL] [Abstract][Full Text] [Related]
15. Single-sequence protein structure prediction using supervised transformer protein language models.
Wang W; Peng Z; Yang J
Nat Comput Sci; 2022 Dec; 2(12):804-814. PubMed ID: 38177395
[TBL] [Abstract][Full Text] [Related]
16. DeepECA: an end-to-end learning framework for protein contact prediction from a multiple sequence alignment.
Fukuda H; Tomii K
BMC Bioinformatics; 2020 Jan; 21(1):10. PubMed ID: 31918654
[TBL] [Abstract][Full Text] [Related]
17. Protein language models trained on multiple sequence alignments learn phylogenetic relationships.
Lupo U; Sgarbossa D; Bitbol AF
Nat Commun; 2022 Oct; 13(1):6298. PubMed ID: 36273003
[TBL] [Abstract][Full Text] [Related]
18. Protein language-model embeddings for fast, accurate, and alignment-free protein structure prediction.
Weissenow K; Heinzinger M; Rost B
Structure; 2022 Aug; 30(8):1169-1177.e4. PubMed ID: 35609601
[TBL] [Abstract][Full Text] [Related]
19. Protein multiple sequence alignment benchmarking through secondary structure prediction.
Le Q; Sievers F; Higgins DG
Bioinformatics; 2017 May; 33(9):1331-1337. PubMed ID: 28093407
[TBL] [Abstract][Full Text] [Related]
20. RaptorX: exploiting structure information for protein alignment by statistical inference.
Peng J; Xu J
Proteins; 2011; 79 Suppl 10(Suppl 10):161-71. PubMed ID: 21987485
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
