Detalhe da pesquisa
1.
A two-stage computational framework for identifying antiviral peptides and their functional types based on contrastive learning and multi-feature fusion strategy.
Brief Bioinform
; 25(3)2024 Mar 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-38706321
2.
Extraction of microRNA-target interaction sentences from biomedical literature by deep learning approach.
Brief Bioinform
; 24(1)2023 01 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-36440972
3.
Identifying Antitubercular Peptides via Deep Forest Architecture with Effective Feature Representation.
Anal Chem
; 96(4): 1538-1546, 2024 01 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-38226973
4.
CircNet 2.0: an updated database for exploring circular RNA regulatory networks in cancers.
Nucleic Acids Res
; 50(D1): D93-D101, 2022 01 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-34850139
5.
dbAMP 2.0: updated resource for antimicrobial peptides with an enhanced scanning method for genomic and proteomic data.
Nucleic Acids Res
; 50(D1): D460-D470, 2022 01 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-34850155
6.
dbPTM in 2022: an updated database for exploring regulatory networks and functional associations of protein post-translational modifications.
Nucleic Acids Res
; 50(D1): D471-D479, 2022 01 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-34788852
7.
miRTarBase update 2022: an informative resource for experimentally validated miRNA-target interactions.
Nucleic Acids Res
; 50(D1): D222-D230, 2022 01 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-34850920
8.
AVPIden: a new scheme for identification and functional prediction of antiviral peptides based on machine learning approaches.
Brief Bioinform
; 22(6)2021 11 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-34279599
9.
Integrating transformer and imbalanced multi-label learning to identify antimicrobial peptides and their functional activities.
Bioinformatics
; 38(24): 5368-5374, 2022 12 13.
Artigo
em Inglês
| MEDLINE | ID: mdl-36326438
10.
Predicting Anti-inflammatory Peptides by Ensemble Machine Learning and Deep Learning.
J Chem Inf Model
; 63(24): 7886-7898, 2023 Dec 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-38054927
11.
StackTHPred: Identifying Tumor-Homing Peptides through GBDT-Based Feature Selection with Stacking Ensemble Architecture.
Int J Mol Sci
; 24(12)2023 Jun 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-37373494
12.
Accelerating the Discovery of Anticancer Peptides through Deep Forest Architecture with Deep Graphical Representation.
Int J Mol Sci
; 24(5)2023 Feb 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-36901759
13.
A Robust Drug-Target Interaction Prediction Framework with Capsule Network and Transfer Learning.
Int J Mol Sci
; 24(18)2023 Sep 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-37762364
14.
KinPred-RNA-kinase activity inference and cancer type classification using machine learning on RNA-seq data.
iScience
; 27(4): 109333, 2024 Apr 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-38523792
15.
AMPActiPred: A three-stage framework for predicting antibacterial peptides and activity levels with deep forest.
Protein Sci
; 33(6): e5006, 2024 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-38723168
16.
KinasePhos 3.0: Redesign and Expansion of the Prediction on Kinase-specific Phosphorylation Sites.
Genomics Proteomics Bioinformatics
; 21(1): 228-241, 2023 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-35781048
17.
DeepAFP: An effective computational framework for identifying antifungal peptides based on deep learning.
Protein Sci
; 32(10): e4758, 2023 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-37595093