TPpred-ATMV: therapeutic peptide prediction by adaptive multi-view tensor learning model

AMPlify: attentive deep learning model for discovery of novel antimicrobial peptides effective against WHO priority pathogens

(2022) Chenkai Li et al.   BMC GENOMICS

BERT4Bitter: a bidirectional encoder representations from transformers (BERT)-based model for improving the prediction of bitter peptides

(2021) Phasit Charoenkwan et al.   BIOINFORMATICS

NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learning

(2021) Md Mehedi Hasan et al.   BRIEFINGS IN BIOINFORMATICS

StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptides

(2021) Phasit Charoenkwan et al.   BRIEFINGS IN BIOINFORMATICS

PreTP-EL: prediction of therapeutic peptides based on ensemble learning

(2021) Yichen Guo et al.   BRIEFINGS IN BIOINFORMATICS

Subtype-WESLR: identifying cancer subtype with weighted ensemble sparse latent representation of multi-view data

(2021) Wenjing Song 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

StackCPPred: A Stacking and Pairwise Energy Content-based Prediction of Cell-Penetrating Peptides and Their Uptake Efficiency

(2020) Xiangzheng Fu et al.   BIOINFORMATICS

Machine intelligence in peptide therapeutics: A next‐generation tool for rapid disease screening

(2020) Shaherin Basith et al.   MEDICINAL RESEARCH REVIEWS

HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representation

(2020) Md Mehedi Hasan et al.   BIOINFORMATICS

PPTPP: A novel therapeutic peptide prediction method using physicochemical property encoding and adaptive feature representation learning

(2020) Yu P Zhang et al.   BIOINFORMATICS

AntiCP 2.0: an updated model for predicting anticancer peptides

(2020) Piyush Agrawal et al.   BRIEFINGS IN BIOINFORMATICS

A Review on the Application of Deep Learning in Bioinformatics

(2020) Yongqing Zhang et al.   Current 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

Identification of sub-Golgi protein localization by use of deep representation learning features

(2020) Zhibin Lv et al.   BIOINFORMATICS

Large-scale comparative review and assessment of computational methods for anti-cancer peptide identification

(2020) Xiao Liang et al.   BRIEFINGS IN BIOINFORMATICS

MLDH-Fold: Protein fold recognition based on multi-view low-rank modeling

(2020) Ke Yan et al.   NEUROCOMPUTING

PEPred-Suite: improved and robust prediction of therapeutic peptides using adaptive feature representation learning

(2019) Leyi Wei et al.   BIOINFORMATICS

deepDR: A network-based deep learning approach to in silico drug repositioning

(2019) Xiangxiang Zeng et al.   BIOINFORMATICS

Protein Function Prediction: From Traditional Classifier to Deep Learning

(2019) Zhibin Lv et al.   PROTEOMICS

PTPD: predicting therapeutic peptides by deep learning and word2vec

(2019) Chuanyan Wu et al.   BMC BIOINFORMATICS

BioSeq-Analysis2.0: an updated platform for analyzing DNA, RNA and protein sequences at sequence level and residue level based on machine learning approaches

(2019) Bin Liu et al.   NUCLEIC ACIDS RESEARCH

A Random Forest Sub-Golgi Protein Classifier Optimized via Dipeptide and Amino Acid Composition Features

(2019) Zhibin Lv et al.   Frontiers in Bioengineering and Biotechnology

ACPred-Fuse: fusing multi-view information improves the prediction of anticancer peptides

(2019) Bing Rao et al.   BRIEFINGS IN BIOINFORMATICS

Essential Tensor Learning for Multi-View Spectral Clustering

(2019) Jianlong Wu et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

AIPpred: Sequence-Based Prediction of Anti-inflammatory Peptides Using Random Forest

(2018) Balachandran Manavalan et al.   Frontiers in Pharmacology

Gene2vec: gene subsequence embedding for prediction of mammalian N6-methyladenosine sites from mRNA

(2018) Quan Zou et al.   RNA

Discriminative Elastic-Net Regularized Linear Regression

(2017) Zheng Zhang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

PSFM-DBT: Identifying DNA-Binding Proteins by Combing Position Specific Frequency Matrix and Distance-Bigram Transformation

(2017) et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

CPPred-RF: A Sequence-based Predictor for Identifying Cell-Penetrating Peptides and Their Uptake Efficiency

(2017) Leyi Wei et al.   JOURNAL OF PROTEOME RESEARCH

MLACP: machine-learning-based prediction of anticancer peptides

(2017) Balachandran Manavalan et al.   Oncotarget

The Twist Tensor Nuclear Norm for Video Completion

(2017) Wenrui Hu et al.   IEEE Transactions on Neural Networks and Learning Systems

PSBinder: A Web Service for Predicting Polystyrene Surface-Binding Peptides

(2017) Ning Li et al.   Biomed Research International

Identifying DNA-binding proteins by combining support vector machine and PSSM distance transformation

(2015) Ruifeng Xu et al.   BMC Systems Biology

Peptide therapeutics: current status and future directions

(2015) Keld Fosgerau et al.   DRUG DISCOVERY TODAY

Prediction and Analysis of Quorum Sensing Peptides Based on Sequence Features

(2015) Akanksha Rajput et al.   PLoS One

AntiAngioPred: A Server for Prediction of Anti-Angiogenic Peptides

(2015) Azhagiya Singam Ettayapuram Ramaprasad et al.   PLoS One

PhosphoSVM: prediction of phosphorylation sites by integrating various protein sequence attributes with a support vector machine

(2014) Yongchao Dou et al.   AMINO ACIDS

iDNA-Prot|dis: Identifying DNA-Binding Proteins by Incorporating Amino Acid Distance-Pairs and Reduced Alphabet Profile into the General Pseudo Amino Acid Composition

(2014) Bin Liu et al.   PLoS One

Combining evolutionary information extracted from frequency profiles with sequence-based kernels for protein remote homology detection

(2013) Bin Liu et al.   BIOINFORMATICS

AVPpred: collection and prediction of highly effective antiviral peptides

(2012) Nishant Thakur et al.   NUCLEIC ACIDS RESEARCH

A discriminative method for protein remote homology detection and fold recognition combining Top-n-grams and latent semantic analysis

(2008) Bin Liu et al.   BMC BIOINFORMATICS

PseAAC: A flexible web server for generating various kinds of protein pseudo amino acid composition

(2007) Hong-Bin Shen et al.   ANALYTICAL BIOCHEMISTRY