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For: He W, Jiang Y, Jin J, Li Z, Zhao J, Manavalan B, Su R, Gao X, Wei L. Accelerating bioactive peptide discovery via mutual information-based meta-learning. Brief Bioinform 2021;23:6457168. [PMID: 34882225 DOI: 10.1093/bib/bbab499] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 10/07/2021] [Accepted: 10/30/2021] [Indexed: 12/28/2022]  Open
Number Cited by Other Article(s)
1
Arif R, Kanwal S, Ahmed S, Kabir M. A Computational Predictor for Accurate Identification of Tumor Homing Peptides by Integrating Sequential and Deep BiLSTM Features. Interdiscip Sci 2024;16:503-518. [PMID: 38733473 DOI: 10.1007/s12539-024-00628-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 03/16/2024] [Accepted: 03/27/2024] [Indexed: 05/13/2024]
2
Gu ZF, Hao YD, Wang TY, Cai PL, Zhang Y, Deng KJ, Lin H, Lv H. Prediction of blood-brain barrier penetrating peptides based on data augmentation with Augur. BMC Biol 2024;22:86. [PMID: 38637801 PMCID: PMC11027412 DOI: 10.1186/s12915-024-01883-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 04/05/2024] [Indexed: 04/20/2024]  Open
3
Yang X, Jin J, Wang R, Li Z, Wang Y, Wei L. CACPP: A Contrastive Learning-Based Siamese Network to Identify Anticancer Peptides Based on Sequence Only. J Chem Inf Model 2024;64:2807-2816. [PMID: 37252890 DOI: 10.1021/acs.jcim.3c00297] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
4
Goshisht MK. Machine Learning and Deep Learning in Synthetic Biology: Key Architectures, Applications, and Challenges. ACS OMEGA 2024;9:9921-9945. [PMID: 38463314 PMCID: PMC10918679 DOI: 10.1021/acsomega.3c05913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 01/19/2024] [Accepted: 01/30/2024] [Indexed: 03/12/2024]
5
Wang D, Jin J, Li Z, Wang Y, Fan M, Liang S, Su R, Wei L. StructuralDPPIV: a novel deep learning model based on atom structure for predicting dipeptidyl peptidase-IV inhibitory peptides. Bioinformatics 2024;40:btae057. [PMID: 38305458 PMCID: PMC10904144 DOI: 10.1093/bioinformatics/btae057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 12/07/2023] [Accepted: 01/30/2024] [Indexed: 02/03/2024]  Open
6
Yu Y, Liu S, Zhang X, Yu W, Pei X, Liu L, Jin Y. Identification and prediction of milk-derived bitter taste peptides based on peptidomics technology and machine learning method. Food Chem 2024;433:137288. [PMID: 37683467 DOI: 10.1016/j.foodchem.2023.137288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 07/19/2023] [Accepted: 08/24/2023] [Indexed: 09/10/2023]
7
Jiang J, Pei H, Li J, Li M, Zou Q, Lv Z. FEOpti-ACVP: identification of novel anti-coronavirus peptide sequences based on feature engineering and optimization. Brief Bioinform 2024;25:bbae037. [PMID: 38366802 PMCID: PMC10939380 DOI: 10.1093/bib/bbae037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 12/27/2023] [Accepted: 01/17/2024] [Indexed: 02/18/2024]  Open
8
Grønning AGB, Schéele C. Integrating a Multi-label Deep Learning Approach with Protein Information to Compare Bioactive Peptides in Brain and Plasma. Methods Mol Biol 2024;2758:179-195. [PMID: 38549014 DOI: 10.1007/978-1-0716-3646-6_9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/02/2024]
9
Ahmad B, Achek A, Farooq M, Choi S. Accelerated NLRP3 inflammasome-inhibitory peptide design using a recurrent neural network model and molecular dynamics simulations. Comput Struct Biotechnol J 2023;21:4825-4835. [PMID: 37854633 PMCID: PMC10579963 DOI: 10.1016/j.csbj.2023.09.038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 09/27/2023] [Accepted: 09/27/2023] [Indexed: 10/20/2023]  Open
10
Ma C, Wolfinger R. A prediction model for blood-brain barrier penetrating peptides based on masked peptide transformers with dynamic routing. Brief Bioinform 2023;24:bbad399. [PMID: 37985456 DOI: 10.1093/bib/bbad399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 09/26/2023] [Accepted: 10/17/2023] [Indexed: 11/22/2023]  Open
11
Li Z, Jin J, He W, Long W, Yu H, Gao X, Nakai K, Zou Q, Wei L. CoraL: interpretable contrastive meta-learning for the prediction of cancer-associated ncRNA-encoded small peptides. Brief Bioinform 2023;24:bbad352. [PMID: 37861173 DOI: 10.1093/bib/bbad352] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 08/29/2023] [Accepted: 09/17/2023] [Indexed: 10/21/2023]  Open
12
Li X, Yang Q, Luo G, Xu L, Dong W, Wang W, Dong S, Wang K, Xuan P, Gao X. SAGDTI: self-attention and graph neural network with multiple information representations for the prediction of drug-target interactions. BIOINFORMATICS ADVANCES 2023;3:vbad116. [PMID: 38282612 PMCID: PMC10818136 DOI: 10.1093/bioadv/vbad116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 07/31/2023] [Accepted: 08/24/2023] [Indexed: 01/30/2024]
13
Guan J, Yao L, Chung CR, Chiang YC, Lee TY. StackTHPred: Identifying Tumor-Homing Peptides through GBDT-Based Feature Selection with Stacking Ensemble Architecture. Int J Mol Sci 2023;24:10348. [PMID: 37373494 DOI: 10.3390/ijms241210348] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 05/31/2023] [Accepted: 06/02/2023] [Indexed: 06/29/2023]  Open
14
Dong W, Yang Q, Wang J, Xu L, Li X, Luo G, Gao X. Multi-modality attribute learning-based method for drug-protein interaction prediction based on deep neural network. Brief Bioinform 2023;24:7145903. [PMID: 37114624 DOI: 10.1093/bib/bbad161] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 03/19/2023] [Accepted: 04/02/2023] [Indexed: 04/29/2023]  Open
15
Jiang J, Li J, Li J, Pei H, Li M, Zou Q, Lv Z. A Machine Learning Method to Identify Umami Peptide Sequences by Using Multiplicative LSTM Embedded Features. Foods 2023;12:foods12071498. [PMID: 37048319 PMCID: PMC10094688 DOI: 10.3390/foods12071498] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Revised: 03/24/2023] [Accepted: 03/30/2023] [Indexed: 04/05/2023]  Open
16
Li Z, Gao E, Zhou J, Han W, Xu X, Gao X. Applications of deep learning in understanding gene regulation. CELL REPORTS METHODS 2023;3:100384. [PMID: 36814848 PMCID: PMC9939384 DOI: 10.1016/j.crmeth.2022.100384] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
17
Zhang X, Wei L, Ye X, Zhang K, Teng S, Li Z, Jin J, Kim MJ, Sakurai T, Cui L, Manavalan B, Wei L. SiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learning. Brief Bioinform 2023;24:6958502. [PMID: 36562719 DOI: 10.1093/bib/bbac545] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 11/07/2022] [Accepted: 11/10/2022] [Indexed: 12/24/2022]  Open
18
Sun TJ, Bu HL, Yan X, Sun ZH, Zha MS, Dong GF. LABAMPsGCN: A framework for identifying lactic acid bacteria antimicrobial peptides based on graph convolutional neural network. Front Genet 2022;13:1062576. [PMID: 36406112 PMCID: PMC9669054 DOI: 10.3389/fgene.2022.1062576] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 10/24/2022] [Indexed: 08/01/2023]  Open
19
Improved prediction and characterization of blood-brain barrier penetrating peptides using estimated propensity scores of dipeptides. J Comput Aided Mol Des 2022;36:781-796. [DOI: 10.1007/s10822-022-00476-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 09/15/2022] [Indexed: 11/27/2022]
20
Liu J, Li M, Chen X. AntiMF: A deep learning framework for predicting anticancer peptides based on multi-view feature extraction. Methods 2022;207:38-43. [PMID: 36100141 DOI: 10.1016/j.ymeth.2022.07.017] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 07/20/2022] [Accepted: 07/26/2022] [Indexed: 01/10/2023]  Open
21
Identify Bitter Peptides by Using Deep Representation Learning Features. Int J Mol Sci 2022;23:ijms23147877. [PMID: 35887225 PMCID: PMC9315524 DOI: 10.3390/ijms23147877] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 07/01/2022] [Accepted: 07/14/2022] [Indexed: 02/04/2023]  Open
22
Assessing sequence-based protein-protein interaction predictors for use in therapeutic peptide engineering. Sci Rep 2022;12:9610. [PMID: 35688894 PMCID: PMC9187631 DOI: 10.1038/s41598-022-13227-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 04/25/2022] [Indexed: 12/01/2022]  Open
23
Charoenkwan P, Schaduangrat N, Lio' P, Moni MA, Manavalan B, Shoombuatong W. NEPTUNE: A novel computational approach for accurate and large-scale identification of tumor homing peptides. Comput Biol Med 2022;148:105700. [PMID: 35715261 DOI: 10.1016/j.compbiomed.2022.105700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 05/31/2022] [Accepted: 06/04/2022] [Indexed: 11/16/2022]
24
MPMABP: A CNN and Bi-LSTM-Based Method for Predicting Multi-Activities of Bioactive Peptides. Pharmaceuticals (Basel) 2022;15:ph15060707. [PMID: 35745625 PMCID: PMC9231127 DOI: 10.3390/ph15060707] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 05/23/2022] [Accepted: 05/30/2022] [Indexed: 12/30/2022]  Open
25
Guo X, Jiang Y, Zou Q. Structured Sparse Regularized TSK Fuzzy System for predicting therapeutic peptides. Brief Bioinform 2022;23:6570018. [PMID: 35438149 DOI: 10.1093/bib/bbac135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 03/19/2022] [Accepted: 03/22/2022] [Indexed: 11/13/2022]  Open
26
de Oliveira ECL, da Costa KS, Taube PS, Lima AH, Junior CDSDS. Biological Membrane-Penetrating Peptides: Computational Prediction and Applications. Front Cell Infect Microbiol 2022;12:838259. [PMID: 35402305 PMCID: PMC8992797 DOI: 10.3389/fcimb.2022.838259] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 02/21/2022] [Indexed: 12/14/2022]  Open
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