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

IDRBP-PPCT: Identifying Nucleic Acid-Binding Proteins Based on Position-Specific Score Matrix and Position-Specific Frequency Matrix Cross Transformation

(2021) Ning Wang et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

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

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

(2020) Xiao Liang et al.   BRIEFINGS IN BIOINFORMATICS

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

(2019) Leyi Wei et al.   BIOINFORMATICS

ACPred: A Computational Tool for the Prediction and Analysis of Anticancer Peptides

(2019) Nalini Schaduangrat et al.   MOLECULES

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

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

(2019) Bing Rao et al.   BRIEFINGS IN BIOINFORMATICS

Complex Network Study of the Immune Epitope Database for Parasitic Organisms

(2018) Severo Vazquez- Prieto et al.   CURRENT TOPICS IN MEDICINAL CHEMISTRY

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

(2018) Balachandran Manavalan et al.   Frontiers in Pharmacology

CPPred-FL: a sequence-based predictor for large-scale identification of cell-penetrating peptides by feature representation learning

(2018) Xiaoli Qiang et al.   BRIEFINGS IN BIOINFORMATICS

Fast prediction of protein methylation sites using a sequence-based feature selection technique

(2017) Leyi Wei et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

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

Prediction of anti-inflammatory proteins/peptides: an insilico approach

(2017) Sudheer Gupta et al.   Journal of Translational Medicine

A study of the Immune Epitope Database for some fungi species using network topological indices

(2017) Severo Vázquez-Prieto et al.   MOLECULAR DIVERSITY

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

(2017) Ning Li et al.   Biomed Research International

iDHS-EL: identifying DNase I hypersensitive sites by fusing three different modes of pseudo nucleotide composition into an ensemble learning framework

(2016) Bin Liu et al.   BIOINFORMATICS

QSPR-Perturbation Models for the Prediction of B-Epitopes from Immune Epitope Database: A Potentially Valuable Route for Predicting “In Silico” New Optimal Peptide Sequences and/or Boundary Conditions for Vaccine Development

(2016) Severo Vázquez-Prieto et al.   International Journal of Peptide Research and Therapeutics

iACP: a sequence-based tool for identifying anticancer peptides

(2016) Wei Chen et al.   Oncotarget

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

Using distances between Top-n-gram and residue pairs for protein remote homology detection

(2014) Bin Liu et al.   BMC BIOINFORMATICS

Incorporating key position and amino acid residue features to identify general and species-specific Ubiquitin conjugation sites

(2013) Xiang Chen et al.   BIOINFORMATICS

In Silico Models for Designing and Discovering Novel Anticancer Peptides

(2013) Atul Tyagi et al.   Scientific Reports

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