380 related articles for article (PubMed ID: 27879651)
1. Prediction of Protein-Protein Interactions by Evidence Combining Methods.
Chang JW; Zhou YQ; Ul Qamar MT; Chen LL; Ding YD
Int J Mol Sci; 2016 Nov; 17(11):. PubMed ID: 27879651
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. A survey on computational models for predicting protein-protein interactions.
Hu L; Wang X; Huang YA; Hu P; You ZH
Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33693513
[TBL] [Abstract][Full Text] [Related]
4. Evolutionary profiles improve protein-protein interaction prediction from sequence.
Hamp T; Rost B
Bioinformatics; 2015 Jun; 31(12):1945-50. PubMed ID: 25657331
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Predicting Protein-Protein Interactions via Random Ferns with Evolutionary Matrix Representation.
Li Y; Wang Z; You ZH; Li LP; Hu X
Comput Math Methods Med; 2022; 2022():7191684. PubMed ID: 35242211
[TBL] [Abstract][Full Text] [Related]
7. Exploring the relationship between hub proteins and drug targets based on GO and intrinsic disorder.
Fu Y; Guo Y; Wang Y; Luo J; Pu X; Li M; Zhang Z
Comput Biol Chem; 2015 Jun; 56():41-8. PubMed ID: 25854804
[TBL] [Abstract][Full Text] [Related]
8. Utilizing shared interacting domain patterns and Gene Ontology information to improve protein-protein interaction prediction.
Roslan R; Othman RM; Shah ZA; Kasim S; Asmuni H; Taliba J; Hassan R; Zakaria Z
Comput Biol Med; 2010 Jun; 40(6):555-64. PubMed ID: 20417930
[TBL] [Abstract][Full Text] [Related]
9. A New Feature Vector Based on Gene Ontology Terms for Protein-Protein Interaction Prediction.
Bandyopadhyay S; Mallick K
IEEE/ACM Trans Comput Biol Bioinform; 2017; 14(4):762-770. PubMed ID: 28113911
[TBL] [Abstract][Full Text] [Related]
10. InterPred: A pipeline to identify and model protein-protein interactions.
Mirabello C; Wallner B
Proteins; 2017 Jun; 85(6):1159-1170. PubMed ID: 28263438
[TBL] [Abstract][Full Text] [Related]
11. Predicting domain-domain interaction based on domain profiles with feature selection and support vector machines.
González AJ; Liao L
BMC Bioinformatics; 2010 Oct; 11():537. PubMed ID: 21034480
[TBL] [Abstract][Full Text] [Related]
12. Application of Machine Learning Approaches for Protein-protein Interactions Prediction.
Zhang M; Su Q; Lu Y; Zhao M; Niu B
Med Chem; 2017; 13(6):506-514. PubMed ID: 28530547
[TBL] [Abstract][Full Text] [Related]
13. Ensemble learning prediction of protein-protein interactions using proteins functional annotations.
Saha I; Zubek J; Klingström T; Forsberg S; Wikander J; Kierczak M; Maulik U; Plewczynski D
Mol Biosyst; 2014 Apr; 10(4):820-30. PubMed ID: 24469380
[TBL] [Abstract][Full Text] [Related]
14. Improved protein-protein interactions prediction via weighted sparse representation model combining continuous wavelet descriptor and PseAA composition.
Huang YA; You ZH; Chen X; Yan GY
BMC Syst Biol; 2016 Dec; 10(Suppl 4):120. PubMed ID: 28155718
[TBL] [Abstract][Full Text] [Related]
15. Critical assessment and performance improvement of plant-pathogen protein-protein interaction prediction methods.
Yang S; Li H; He H; Zhou Y; Zhang Z
Brief Bioinform; 2019 Jan; 20(1):274-287. PubMed ID: 29028906
[TBL] [Abstract][Full Text] [Related]
16. Predicting Protein-Protein Interactions from the Molecular to the Proteome Level.
Keskin O; Tuncbag N; Gursoy A
Chem Rev; 2016 Apr; 116(8):4884-909. PubMed ID: 27074302
[TBL] [Abstract][Full Text] [Related]
17. Predicting protein-protein interactions by fusing various Chou's pseudo components and using wavelet denoising approach.
Tian B; Wu X; Chen C; Qiu W; Ma Q; Yu B
J Theor Biol; 2019 Feb; 462():329-346. PubMed ID: 30452960
[TBL] [Abstract][Full Text] [Related]
18. Graph embeddings on gene ontology annotations for protein-protein interaction prediction.
Zhong X; Rajapakse JC
BMC Bioinformatics; 2020 Dec; 21(Suppl 16):560. PubMed ID: 33323115
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. In silico prediction of physical protein interactions and characterization of interactome orphans.
Kotlyar M; Pastrello C; Pivetta F; Lo Sardo A; Cumbaa C; Li H; Naranian T; Niu Y; Ding Z; Vafaee F; Broackes-Carter F; Petschnigg J; Mills GB; Jurisicova A; Stagljar I; Maestro R; Jurisica I
Nat Methods; 2015 Jan; 12(1):79-84. PubMed ID: 25402006
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]