133 related articles for article (PubMed ID: 34240102)
1. pyconsFold: a fast and easy tool for modeling and docking using distance predictions.
Lamb J; Elofsson A
Bioinformatics; 2021 Nov; 37(21):3959-3960. PubMed ID: 34240102
[TBL] [Abstract][Full Text] [Related]
2. PconsFold: improved contact predictions improve protein models.
Michel M; Hayat S; Skwark MJ; Sander C; Marks DS; Elofsson A
Bioinformatics; 2014 Sep; 30(17):i482-8. PubMed ID: 25161237
[TBL] [Abstract][Full Text] [Related]
3. PconsC4: fast, accurate and hassle-free contact predictions.
Michel M; Menéndez Hurtado D; Elofsson A
Bioinformatics; 2019 Aug; 35(15):2677-2679. PubMed ID: 30590407
[TBL] [Abstract][Full Text] [Related]
4. OPUS-X: an open-source toolkit for protein torsion angles, secondary structure, solvent accessibility, contact map predictions and 3D folding.
Xu G; Wang Q; Ma J
Bioinformatics; 2021 Dec; 38(1):108-114. PubMed ID: 34478500
[TBL] [Abstract][Full Text] [Related]
5. Limits and potential of combined folding and docking.
Pozzati G; Zhu W; Bassot C; Lamb J; Kundrotas P; Elofsson A
Bioinformatics; 2022 Jan; 38(4):954-961. PubMed ID: 34788800
[TBL] [Abstract][Full Text] [Related]
6. Improving deep learning-based protein distance prediction in CASP14.
Guo Z; Wu T; Liu J; Hou J; Cheng J
Bioinformatics; 2021 Oct; 37(19):3190-3196. PubMed ID: 33961009
[TBL] [Abstract][Full Text] [Related]
7. Improving protein fold recognition by extracting fold-specific features from predicted residue-residue contacts.
Zhu J; Zhang H; Li SC; Wang C; Kong L; Sun S; Zheng WM; Bu D
Bioinformatics; 2017 Dec; 33(23):3749-3757. PubMed ID: 28961795
[TBL] [Abstract][Full Text] [Related]
8. A deep dilated convolutional residual network for predicting interchain contacts of protein homodimers.
Roy RS; Quadir F; Soltanikazemi E; Cheng J
Bioinformatics; 2022 Mar; 38(7):1904-1910. PubMed ID: 35134816
[TBL] [Abstract][Full Text] [Related]
9. OpenMDlr: parallel, open-source tools for general protein structure modeling and refinement from pairwise distances.
Davidson RB; Woods J; Effler TC; Thavappiragasam M; Mitchell JC; Parks JM; Sedova A
Bioinformatics; 2022 Jun; 38(12):3297-3298. PubMed ID: 35512391
[TBL] [Abstract][Full Text] [Related]
10. AutoDock CrankPep: combining folding and docking to predict protein-peptide complexes.
Zhang Y; Sanner MF
Bioinformatics; 2019 Dec; 35(24):5121-5127. PubMed ID: 31161213
[TBL] [Abstract][Full Text] [Related]
11. DNCON2: improved protein contact prediction using two-level deep convolutional neural networks.
Adhikari B; Hou J; Cheng J
Bioinformatics; 2018 May; 34(9):1466-1472. PubMed ID: 29228185
[TBL] [Abstract][Full Text] [Related]
12. Deep graph learning of inter-protein contacts.
Xie Z; Xu J
Bioinformatics; 2022 Jan; 38(4):947-953. PubMed ID: 34755837
[TBL] [Abstract][Full Text] [Related]
13. CONFOLD2: improved contact-driven ab initio protein structure modeling.
Adhikari B; Cheng J
BMC Bioinformatics; 2018 Jan; 19(1):22. PubMed ID: 29370750
[TBL] [Abstract][Full Text] [Related]
14. GDFuzz3D: a method for protein 3D structure reconstruction from contact maps, based on a non-Euclidean distance function.
Pietal MJ; Bujnicki JM; Kozlowski LP
Bioinformatics; 2015 Nov; 31(21):3499-505. PubMed ID: 26130575
[TBL] [Abstract][Full Text] [Related]
15. PyRosetta: a script-based interface for implementing molecular modeling algorithms using Rosetta.
Chaudhury S; Lyskov S; Gray JJ
Bioinformatics; 2010 Mar; 26(5):689-91. PubMed ID: 20061306
[TBL] [Abstract][Full Text] [Related]
16. Modeling positional effects of regulatory sequences with spline transformations increases prediction accuracy of deep neural networks.
Avsec Ž; Barekatain M; Cheng J; Gagneur J
Bioinformatics; 2018 Apr; 34(8):1261-1269. PubMed ID: 29155928
[TBL] [Abstract][Full Text] [Related]
17. LZW-Kernel: fast kernel utilizing variable length code blocks from LZW compressors for protein sequence classification.
Filatov G; Bauwens B; Kertész-Farkas A
Bioinformatics; 2018 Oct; 34(19):3281-3288. PubMed ID: 29741583
[TBL] [Abstract][Full Text] [Related]
18. BioStructMap: a Python tool for integration of protein structure and sequence-based features.
Guy AJ; Irani V; Richards JS; Ramsland PA
Bioinformatics; 2018 Nov; 34(22):3942-3944. PubMed ID: 29931276
[TBL] [Abstract][Full Text] [Related]
19. BreakPoint Surveyor: a pipeline for structural variant visualization.
Wyczalkowski MA; Wylie KM; Cao S; McLellan MD; Flynn J; Huang M; Ye K; Fan X; Chen K; Wendl MC; Ding L
Bioinformatics; 2017 Oct; 33(19):3121-3122. PubMed ID: 28582538
[TBL] [Abstract][Full Text] [Related]
20. scSampler: fast diversity-preserving subsampling of large-scale single-cell transcriptomic data.
Song D; Xi NM; Li JJ; Wang L
Bioinformatics; 2022 May; 38(11):3126-3127. PubMed ID: 35426898
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
