216 related articles for article (PubMed ID: 29408627)
21. EXIA2: web server of accurate and rapid protein catalytic residue prediction.
Lu CH; Yu CS; Chien YT; Huang SW
Biomed Res Int; 2014; 2014():807839. PubMed ID: 25295274
[TBL] [Abstract][Full Text] [Related]
22. Sequence-based prediction of protein interaction sites with an integrative method.
Chen XW; Jeong JC
Bioinformatics; 2009 Mar; 25(5):585-91. PubMed ID: 19153136
[TBL] [Abstract][Full Text] [Related]
23. Global sequence properties for superfamily prediction: a machine learning approach.
Dobson RJ; Munroe PB; Caulfield MJ; Saqi MA
J Integr Bioinform; 2009 Aug; 6(1):109. PubMed ID: 20134076
[TBL] [Abstract][Full Text] [Related]
24. From sequence to enzyme mechanism using multi-label machine learning.
De Ferrari L; Mitchell JB
BMC Bioinformatics; 2014 May; 15():150. PubMed ID: 24885296
[TBL] [Abstract][Full Text] [Related]
25. ProFET: Feature engineering captures high-level protein functions.
Ofer D; Linial M
Bioinformatics; 2015 Nov; 31(21):3429-36. PubMed ID: 26130574
[TBL] [Abstract][Full Text] [Related]
26. Protein secondary structure prediction with SPARROW.
Bettella F; Rasinski D; Knapp EW
J Chem Inf Model; 2012 Feb; 52(2):545-56. PubMed ID: 22224407
[TBL] [Abstract][Full Text] [Related]
27. Prediction of redox-sensitive cysteines using sequential distance and other sequence-based features.
Sun MA; Zhang Q; Wang Y; Ge W; Guo D
BMC Bioinformatics; 2016 Aug; 17(1):316. PubMed ID: 27553667
[TBL] [Abstract][Full Text] [Related]
28. PON-P2: prediction method for fast and reliable identification of harmful variants.
Niroula A; Urolagin S; Vihinen M
PLoS One; 2015; 10(2):e0117380. PubMed ID: 25647319
[TBL] [Abstract][Full Text] [Related]
29. Computational methods for ubiquitination site prediction using physicochemical properties of protein sequences.
Cai B; Jiang X
BMC Bioinformatics; 2016 Mar; 17():116. PubMed ID: 26940649
[TBL] [Abstract][Full Text] [Related]
30. Sequence based residue depth prediction using evolutionary information and predicted secondary structure.
Zhang H; Zhang T; Chen K; Shen S; Ruan J; Kurgan L
BMC Bioinformatics; 2008 Sep; 9():388. PubMed ID: 18803867
[TBL] [Abstract][Full Text] [Related]
31. Amino acid network for prediction of catalytic residues in enzymes: a comparison survey.
Zhou J; Yan W; Hu G; Shen B
Curr Protein Pept Sci; 2016; 17(1):41-51. PubMed ID: 26412789
[TBL] [Abstract][Full Text] [Related]
32. A Highly Sensitive Model Based on Graph Neural Networks for Enzyme Key Catalytic Residue Prediction.
Shen X; Zhang S; Long J; Chen C; Wang M; Cui Z; Chen B; Tan T
J Chem Inf Model; 2023 Jul; 63(14):4277-4290. PubMed ID: 37399293
[TBL] [Abstract][Full Text] [Related]
33. Enhancing the Prediction of Transmembrane β-Barrel Segments with Chain Learning and Feature Sparse Representation.
Yin X; Xu YY; Shen HB
IEEE/ACM Trans Comput Biol Bioinform; 2016; 13(6):1016-1026. PubMed ID: 26887010
[TBL] [Abstract][Full Text] [Related]
34. Predicting protein residue-residue contacts using random forests and deep networks.
Luttrell J; Liu T; Zhang C; Wang Z
BMC Bioinformatics; 2019 Mar; 20(Suppl 2):100. PubMed ID: 30871477
[TBL] [Abstract][Full Text] [Related]
35. Predicting and annotating catalytic residues: an information theoretic approach.
Sterner B; Singh R; Berger B
J Comput Biol; 2007 Oct; 14(8):1058-73. PubMed ID: 17887954
[TBL] [Abstract][Full Text] [Related]
36. DNABind: a hybrid algorithm for structure-based prediction of DNA-binding residues by combining machine learning- and template-based approaches.
Liu R; Hu J
Proteins; 2013 Nov; 81(11):1885-99. PubMed ID: 23737141
[TBL] [Abstract][Full Text] [Related]
37. ISPRED4: interaction sites PREDiction in protein structures with a refining grammar model.
Savojardo C; Fariselli P; Martelli PL; Casadio R
Bioinformatics; 2017 Jun; 33(11):1656-1663. PubMed ID: 28130235
[TBL] [Abstract][Full Text] [Related]
38. SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition.
Melvin I; Ie E; Kuang R; Weston J; Stafford WN; Leslie C
BMC Bioinformatics; 2007 May; 8 Suppl 4(Suppl 4):S2. PubMed ID: 17570145
[TBL] [Abstract][Full Text] [Related]
39. Accurate prediction of enzyme mutant activity based on a multibody statistical potential.
Masso M; Vaisman II
Bioinformatics; 2007 Dec; 23(23):3155-61. PubMed ID: 17977887
[TBL] [Abstract][Full Text] [Related]
40. PDRLGB: precise DNA-binding residue prediction using a light gradient boosting machine.
Deng L; Pan J; Xu X; Yang W; Liu C; Liu H
BMC Bioinformatics; 2018 Dec; 19(Suppl 19):522. PubMed ID: 30598073
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]