PrMFTP: Multi-functional therapeutic peptides prediction based on multi-head self-attention mechanism and class weight optimization

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