613 related articles for article (PubMed ID: 27759121)
1. Robust and accurate prediction of protein self-interactions from amino acids sequence using evolutionary information.
An JY; You ZH; Chen X; Huang DS; Yan G; Wang DF
Mol Biosyst; 2016 Nov; 12(12):3702-3710. PubMed ID: 27759121
[TBL] [Abstract][Full Text] [Related]
2. Highly accurate prediction of protein self-interactions by incorporating the average block and PSSM information into the general PseAAC.
Zhai JX; Cao TJ; An JY; Bian YT
J Theor Biol; 2017 Nov; 432():80-86. PubMed ID: 28802824
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Improving protein-protein interactions prediction accuracy using protein evolutionary information and relevance vector machine model.
An JY; Meng FR; You ZH; Chen X; Yan GY; Hu JP
Protein Sci; 2016 Oct; 25(10):1825-33. PubMed ID: 27452983
[TBL] [Abstract][Full Text] [Related]
5. Identification of self-interacting proteins by exploring evolutionary information embedded in PSI-BLAST-constructed position specific scoring matrix.
An JY; You ZH; Chen X; Huang DS; Li ZW; Liu G; Wang Y
Oncotarget; 2016 Dec; 7(50):82440-82449. PubMed ID: 27732957
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Identification of self-interacting proteins by integrating random projection classifier and finite impulse response filter.
Chen ZH; You ZH; Li LP; Wang YB; Qiu Y; Hu PW
BMC Genomics; 2019 Dec; 20(Suppl 13):928. PubMed ID: 31881833
[TBL] [Abstract][Full Text] [Related]
8. PSPEL: In Silico Prediction of Self-Interacting Proteins from Amino Acids Sequences Using Ensemble Learning.
Li JQ; You ZH; Li X; Ming Z; Chen X
IEEE/ACM Trans Comput Biol Bioinform; 2017; 14(5):1165-1172. PubMed ID: 28092572
[TBL] [Abstract][Full Text] [Related]
9. MOWGLI: prediction of protein-MannOse interacting residues With ensemble classifiers usinG evoLutionary Information.
Pai PP; Mondal S
J Biomol Struct Dyn; 2016 Oct; 34(10):2069-83. PubMed ID: 26457920
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. PCVMZM: Using the Probabilistic Classification Vector Machines Model Combined with a Zernike Moments Descriptor to Predict Protein-Protein Interactions from Protein Sequences.
Wang Y; You Z; Li X; Chen X; Jiang T; Zhang J
Int J Mol Sci; 2017 May; 18(5):. PubMed ID: 28492483
[TBL] [Abstract][Full Text] [Related]
12. TargetFreeze: Identifying Antifreeze Proteins via a Combination of Weights using Sequence Evolutionary Information and Pseudo Amino Acid Composition.
He X; Han K; Hu J; Yan H; Yang JY; Shen HB; Yu DJ
J Membr Biol; 2015 Dec; 248(6):1005-14. PubMed ID: 26058944
[TBL] [Abstract][Full Text] [Related]
13. Prediction of Drug-Target Interaction Networks from the Integration of Protein Sequences and Drug Chemical Structures.
Meng FR; You ZH; Chen X; Zhou Y; An JY
Molecules; 2017 Jul; 22(7):. PubMed ID: 28678206
[TBL] [Abstract][Full Text] [Related]
14. Detection of Interactions between Proteins by Using Legendre Moments Descriptor to Extract Discriminatory Information Embedded in PSSM.
Wang YB; You ZH; Li LP; Huang YA; Yi HC
Molecules; 2017 Aug; 22(8):. PubMed ID: 28820478
[TBL] [Abstract][Full Text] [Related]
15. Improving Prediction of Self-interacting Proteins Using Stacked Sparse Auto-Encoder with PSSM profiles.
Wang YB; You ZH; Li LP; Huang DS; Zhou FF; Yang S
Int J Biol Sci; 2018; 14(8):983-991. PubMed ID: 29989064
[TBL] [Abstract][Full Text] [Related]
16. SVM based prediction of RNA-binding proteins using binding residues and evolutionary information.
Kumar M; Gromiha MM; Raghava GP
J Mol Recognit; 2011; 24(2):303-13. PubMed ID: 20677174
[TBL] [Abstract][Full Text] [Related]
17. An Ensemble Classifier to Predict Protein-Protein Interactions by Combining PSSM-based Evolutionary Information with Local Binary Pattern Model.
Li Y; Li LP; Wang L; Yu CQ; Wang Z; You ZH
Int J Mol Sci; 2019 Jul; 20(14):. PubMed ID: 31319578
[TBL] [Abstract][Full Text] [Related]
18. Using support vector machine and evolutionary profiles to predict antifreeze protein sequences.
Zhao X; Ma Z; Yin M
Int J Mol Sci; 2012; 13(2):2196-2207. PubMed ID: 22408447
[TBL] [Abstract][Full Text] [Related]
19. Computational methods using weighed-extreme learning machine to predict protein self-interactions with protein evolutionary information.
An JY; Zhang L; Zhou Y; Zhao YJ; Wang DF
J Cheminform; 2017 Aug; 9(1):47. PubMed ID: 29086182
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]