153 related articles for article (PubMed ID: 20376314)
21. Predicting protein-protein interactions from primary protein sequences using a novel multi-scale local feature representation scheme and the random forest.
You ZH; Chan KC; Hu P
PLoS One; 2015; 10(5):e0125811. PubMed ID: 25946106
[TBL] [Abstract][Full Text] [Related]
22. GANN: genetic algorithm neural networks for the detection of conserved combinations of features in DNA.
Beiko RG; Charlebois RL
BMC Bioinformatics; 2005 Feb; 6():36. PubMed ID: 15725347
[TBL] [Abstract][Full Text] [Related]
23. Improving the Detection of Protein Complexes by Predicting Novel Missing Interactome Links in the Protein-Protein Interaction Network.
Zaki N; Alashwal H
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():5041-5044. PubMed ID: 30441473
[TBL] [Abstract][Full Text] [Related]
24. PPIevo: protein-protein interaction prediction from PSSM based evolutionary information.
Zahiri J; Yaghoubi O; Mohammad-Noori M; Ebrahimpour R; Masoudi-Nejad A
Genomics; 2013 Oct; 102(4):237-42. PubMed ID: 23747746
[TBL] [Abstract][Full Text] [Related]
25. PEPPI: Whole-proteome Protein-protein Interaction Prediction through Structure and Sequence Similarity, Functional Association, and Machine Learning.
Bell EW; Schwartz JH; Freddolino PL; Zhang Y
J Mol Biol; 2022 Jun; 434(11):167530. PubMed ID: 35662463
[TBL] [Abstract][Full Text] [Related]
26. Prediction of protein binding sites in protein structures using hidden Markov support vector machine.
Liu B; Wang X; Lin L; Tang B; Dong Q; Wang X
BMC Bioinformatics; 2009 Nov; 10():381. PubMed ID: 19925685
[TBL] [Abstract][Full Text] [Related]
27. RPiRLS: Quantitative Predictions of RNA Interacting with Any Protein of Known Sequence.
Shen WJ; Cui W; Chen D; Zhang J; Xu J
Molecules; 2018 Feb; 23(3):. PubMed ID: 29495575
[TBL] [Abstract][Full Text] [Related]
28. The development of a universal in silico predictor of protein-protein interactions.
Valente GT; Acencio ML; Martins C; Lemke N
PLoS One; 2013; 8(5):e65587. PubMed ID: 23741499
[TBL] [Abstract][Full Text] [Related]
29. Network inference with ensembles of bi-clustering trees.
Pliakos K; Vens C
BMC Bioinformatics; 2019 Oct; 20(1):525. PubMed ID: 31660848
[TBL] [Abstract][Full Text] [Related]
30. A holistic in silico approach to predict functional sites in protein structures.
Segura J; Jones PF; Fernandez-Fuentes N
Bioinformatics; 2012 Jul; 28(14):1845-50. PubMed ID: 22563069
[TBL] [Abstract][Full Text] [Related]
31. Accurate prediction of protein-protein interactions by integrating potential evolutionary information embedded in PSSM profile and discriminative vector machine classifier.
Li ZW; You ZH; Chen X; Li LP; Huang DS; Yan GY; Nie R; Huang YA
Oncotarget; 2017 Apr; 8(14):23638-23649. PubMed ID: 28423569
[TBL] [Abstract][Full Text] [Related]
32. Semi-supervised multi-label collective classification ensemble for functional genomics.
Wu Q; Ye Y; Ho SS; Zhou S
BMC Genomics; 2014; 15 Suppl 9(Suppl 9):S17. PubMed ID: 25521242
[TBL] [Abstract][Full Text] [Related]
33. Computational approaches to protein-protein interaction.
Franzot G; Carugo O
J Struct Funct Genomics; 2003; 4(4):245-55. PubMed ID: 15185965
[TBL] [Abstract][Full Text] [Related]
34. RVMAB: Using the Relevance Vector Machine Model Combined with Average Blocks to Predict the Interactions of Proteins from Protein Sequences.
An JY; You ZH; Meng FR; Xu SJ; Wang Y
Int J Mol Sci; 2016 May; 17(5):. PubMed ID: 27213337
[TBL] [Abstract][Full Text] [Related]
35. Semi-supervised protein subcellular localization.
Xu Q; Hu DH; Xue H; Yu W; Yang Q
BMC Bioinformatics; 2009 Jan; 10 Suppl 1(Suppl 1):S47. PubMed ID: 19208149
[TBL] [Abstract][Full Text] [Related]
36. A mouse protein interactome through combined literature mining with multiple sources of interaction evidence.
Li X; Cai H; Xu J; Ying S; Zhang Y
Amino Acids; 2010 Apr; 38(4):1237-52. PubMed ID: 19669079
[TBL] [Abstract][Full Text] [Related]
37. Kernel methods for predicting protein-protein interactions.
Ben-Hur A; Noble WS
Bioinformatics; 2005 Jun; 21 Suppl 1():i38-46. PubMed ID: 15961482
[TBL] [Abstract][Full Text] [Related]
38. Protein function prediction with high-throughput data.
Zhao XM; Chen L; Aihara K
Amino Acids; 2008 Oct; 35(3):517-30. PubMed ID: 18427717
[TBL] [Abstract][Full Text] [Related]
39. Ens-PPI: A Novel Ensemble Classifier for Predicting the Interactions of Proteins Using Autocovariance Transformation from PSSM.
Gao ZG; Wang L; Xia SX; You ZH; Yan X; Zhou Y
Biomed Res Int; 2016; 2016():4563524. PubMed ID: 27437399
[TBL] [Abstract][Full Text] [Related]
40. An SVM-based system for predicting protein subnuclear localizations.
Lei Z; Dai Y
BMC Bioinformatics; 2005 Dec; 6():291. PubMed ID: 16336650
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]