PrMFTP: Multi-functional therapeutic peptides prediction based on multi-head self-attention mechanism and class weight optimization
出版年份 2022 全文链接
标题
PrMFTP: Multi-functional therapeutic peptides prediction based on multi-head self-attention mechanism and class weight optimization
作者
关键词
-
出版物
PLoS Computational Biology
Volume 18, Issue 9, Pages e1010511
出版商
Public Library of Science (PLoS)
发表日期
2022-09-13
DOI
10.1371/journal.pcbi.1010511
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- TPpred-ATMV: therapeutic peptide prediction by adaptive multi-view tensor learning model
- (2022) Ke Yan et al. BIOINFORMATICS
- BBPpred: Sequence-Based Prediction of Blood-Brain Barrier Peptides with Feature Representation Learning and Logistic Regression
- (2021) Ruyu Dai et al. Journal of Chemical Information and Modeling
- Trends in peptide drug discovery
- (2021) Markus Muttenthaler et al. NATURE REVIEWS DRUG DISCOVERY
- DM3Loc: multi-label mRNA subcellular localization prediction and analysis based on multi-head self-attention mechanism
- (2021) Duolin Wang et al. NUCLEIC ACIDS RESEARCH
- ACHP: A Web Server for Predicting Anti-Cancer Peptide and Anti-Hypertensive Peptide
- (2021) Deling Xu et al. International Journal of Peptide Research and Therapeutics
- iAMP-CA2L: a new CNN-BiLSTM-SVM classifier based on cellular automata image for identifying antimicrobial peptides and their functional types
- (2021) Xuan Xiao et al. BRIEFINGS IN BIOINFORMATICS
- TP-MV: Therapeutic Peptides Prediction by Multi-view Learning
- (2021) Ke Yan et al. Current Bioinformatics
- BioSeq-BLM: a platform for analyzing DNA, RNA and protein sequences based on biological language models
- (2021) Hong-Liang Li et al. NUCLEIC ACIDS RESEARCH
- PPTPP: A novel therapeutic peptide prediction method using physicochemical property encoding and adaptive feature representation learning
- (2020) Yu P Zhang et al. BIOINFORMATICS
- A multimodal deep learning framework for predicting drug-drug interaction events
- (2020) Yifan Deng et al. BIOINFORMATICS
- TargetCPP: accurate prediction of cell-penetrating peptides from optimized multi-scale features using gradient boost decision tree
- (2020) Muhammad Arif et al. JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN
- BIPEP: Sequence-based Prediction of Biofilm Inhibitory Peptides Using a Combination of NMR and Physicochemical Descriptors
- (2020) Fereshteh Fallah Atanaki et al. ACS Omega
- AntiCP 2.0: an updated model for predicting anticancer peptides
- (2020) Piyush Agrawal et al. BRIEFINGS IN BIOINFORMATICS
- ProIn-Fuse: improved and robust prediction of proinflammatory peptides by fusing of multiple feature representations
- (2020) Mst. Shamima Khatun et al. JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN
- iDPPIV-SCM: A Sequence-Based Predictor for Identifying and Analyzing Dipeptidyl Peptidase IV (DPP-IV) Inhibitory Peptides Using a Scoring Card Method
- (2020) Phasit Charoenkwan et al. JOURNAL OF PROTEOME RESEARCH
- DeepAVP: A Dual-Channel Deep Neural Network for Identifying Variable-Length Antiviral Peptides
- (2020) Jiawei Li et al. IEEE Journal of Biomedical and Health Informatics
- CNN-based transfer learning–BiLSTM network: A novel approach for COVID-19 infection detection
- (2020) Muhammet Fatih Aslan et al. APPLIED SOFT COMPUTING
- Identifying anti-coronavirus peptides by incorporating different negative datasets and imbalanced learning strategies
- (2020) Yuxuan Pang et al. BRIEFINGS IN BIOINFORMATICS
- AMAP: Hierarchical multi-label prediction of biologically active and antimicrobial peptides
- (2019) Sadaf Gull et al. COMPUTERS IN BIOLOGY AND MEDICINE
- THPep: A machine learning-based approach for predicting tumor homing peptides
- (2019) Watshara Shoombuatong et al. COMPUTATIONAL BIOLOGY AND CHEMISTRY
- DTI-CDF: a cascade deep forest model towards the prediction of drug-target interactions based on hybrid features
- (2019) Yanyi Chu et al. BRIEFINGS IN BIOINFORMATICS
- Joint Ranking SVM and Binary Relevance with robust Low-rank learning for multi-label classification
- (2019) Guoqiang Wu et al. NEURAL NETWORKS
- A Deep Learning Network Approach to ab initio Protein Secondary Structure Prediction
- (2015) Matt Spencer et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation
- (2015) Francisco Charte et al. KNOWLEDGE-BASED SYSTEMS
- iAMP-2L: A two-level multi-label classifier for identifying antimicrobial peptides and their functional types
- (2013) Xuan Xiao et al. ANALYTICAL BIOCHEMISTRY
- A Review on Multi-Label Learning Algorithms
- (2013) Min-Ling Zhang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- De novo generation of short antimicrobial peptides with enhanced stability and cell specificity
- (2013) H. Kim et al. JOURNAL OF ANTIMICROBIAL CHEMOTHERAPY
- Multilabel classification via calibrated label ranking
- (2008) Johannes Fürnkranz et al. MACHINE LEARNING
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More