Detalhe da pesquisa
1.
PCLPred: A Bioinformatics Method for Predicting Protein-Protein Interactions by Combining Relevance Vector Machine Model with Low-Rank Matrix Approximation.
Int J Mol Sci
; 19(4)2018 Mar 29.
Artigo
em Inglês
| MEDLINE | ID: mdl-29596363
2.
Highly accurate prediction of protein self-interactions by incorporating the average block and PSSM information into the general PseAAC.
J Theor Biol
; 432: 80-86, 2017 11 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-28802824
3.
Prediction of Drug-Target Interaction Networks from the Integration of Protein Sequences and Drug Chemical Structures.
Molecules
; 22(7)2017 Jul 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-28678206
4.
RVMAB: Using the Relevance Vector Machine Model Combined with Average Blocks to Predict the Interactions of Proteins from Protein Sequences.
Int J Mol Sci
; 17(5)2016 May 18.
Artigo
em Inglês
| MEDLINE | ID: mdl-27213337
5.
An efficient computational method for predicting drug-target interactions using weighted extreme learning machine and speed up robot features.
BioData Min
; 14(1): 3, 2021 Jan 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-33472664
6.
Predicting Self-Interacting Proteins Using a Recurrent Neural Network and Protein Evolutionary Information.
Evol Bioinform Online
; 16: 1176934320924674, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-32550764
7.
An Efficient Feature Extraction Technique Based on Local Coding PSSM and Multifeatures Fusion for Predicting Protein-Protein Interactions.
Evol Bioinform Online
; 15: 1176934319879920, 2019.
Artigo
em Inglês
| MEDLINE | ID: mdl-31619921
8.
Sequence-based Prediction of Protein-Protein Interactions Using Gray Wolf Optimizer-Based Relevance Vector Machine.
Evol Bioinform Online
; 15: 1176934319844522, 2019.
Artigo
em Inglês
| MEDLINE | ID: mdl-31080346
9.
Computational methods using weighed-extreme learning machine to predict protein self-interactions with protein evolutionary information.
J Cheminform
; 9(1): 47, 2017 Aug 18.
Artigo
em Inglês
| MEDLINE | ID: mdl-29086182
10.
NRDTD: a database for clinically or experimentally supported non-coding RNAs and drug targets associations.
Database (Oxford)
; 20172017 01 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-29220444
11.
Improving protein-protein interactions prediction accuracy using protein evolutionary information and relevance vector machine model.
Protein Sci
; 25(10): 1825-33, 2016 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-27452983
12.
Using the Relevance Vector Machine Model Combined with Local Phase Quantization to Predict Protein-Protein Interactions from Protein Sequences.
Biomed Res Int
; 2016: 4783801, 2016.
Artigo
em Inglês
| MEDLINE | ID: mdl-27314023
13.
Robust and accurate prediction of protein self-interactions from amino acids sequence using evolutionary information.
Mol Biosyst
; 12(12): 3702-3710, 2016 11 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-27759121
14.
Identification of self-interacting proteins by exploring evolutionary information embedded in PSI-BLAST-constructed position specific scoring matrix.
Oncotarget
; 7(50): 82440-82449, 2016 Dec 13.
Artigo
em Inglês
| MEDLINE | ID: mdl-27732957