StackDPPIV: A novel computational approach for accurate prediction of dipeptidyl peptidase IV (DPP-IV) inhibitory peptides

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

(2021) Phasit Charoenkwan et al.   BIOINFORMATICS

Improved prediction and characterization of anticancer activities of peptides using a novel flexible scoring card method

(2021) Phasit Charoenkwan et al.   Scientific Reports

ATSE: a peptide toxicity predictor by exploiting structural and evolutionary information based on graph neural network and attention mechanism

(2021) Lesong Wei 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

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

(2020) Shaherin Basith et al.   MEDICINAL RESEARCH REVIEWS

Review on Chemistry, Analysis, and pharmacology of teneligliptin: a novel DPP-4 inhibitor

(2020) Sanjay Sharma et al.   MINI-REVIEWS IN MEDICINAL CHEMISTRY

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

iTTCA-Hybrid: Improved and robust identification of tumor T cell antigens by utilizing hybrid feature representation

(2020) Phasit Charoenkwan et al.   ANALYTICAL BIOCHEMISTRY

DeepVF: a deep learning-based hybrid framework for identifying virulence factors using the stacking strategy

(2020) Ruopeng Xie et al.   BRIEFINGS IN BIOINFORMATICS

iBitter-SCM: Identification and characterization of bitter peptides using a scoring card method with propensity scores of dipeptides

(2020) Phasit Charoenkwan et al.   GENOMICS

Meta-iPVP: a sequence-based meta-predictor for improving the prediction of phage virion proteins using effective feature representation

(2020) Phasit Charoenkwan et al.   JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN

Deep-Kcr: accurate detection of lysine crotonylation sites using deep learning method

(2020) Hao Lv et al.   BRIEFINGS IN BIOINFORMATICS

iAMY-SCM: Improved prediction and analysis of amyloid proteins using a scoring card method with propensity scores of dipeptides

(2020) Phasit Charoenkwan et al.   GENOMICS

iUmami-SCM: A Novel Sequence-Based Predictor for Prediction and Analysis of Umami Peptides Using a Scoring Card Method with Propensity Scores of Dipeptides

(2020) Phasit Charoenkwan et al.   Journal of Chemical Information and Modeling

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

DeepYY1: a deep learning approach to identify YY1-mediated chromatin loops

(2020) Fu-Ying Dao et al.   BRIEFINGS IN BIOINFORMATICS

Empirical Comparison and Analysis of Web-Based DNA N4-Methylcytosine Site Prediction Tools

(2020) Balachandran Manavalan et al.   Molecular Therapy-Nucleic Acids

i6mA-Pred: Identifying DNA N6-methyladenine sites in the rice genome

(2019) Wei Chen et al.   BIOINFORMATICS

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

(2019) Leyi Wei et al.   BIOINFORMATICS

iRNAD: a computational tool for identifying D modification sites in RNA sequence

(2019) Zhao-Chun Xu et al.   BIOINFORMATICS

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

(2019) Nalini Schaduangrat et al.   MOLECULES

Meta-4mCpred: A Sequence-Based Meta-Predictor for Accurate DNA 4mC Site Prediction Using Effective Feature Representation

(2019) Balachandran Manavalan et al.   Molecular Therapy-Nucleic Acids

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

(2019) Bing Rao et al.   BRIEFINGS IN BIOINFORMATICS

A comparison and assessment of computational method for identifying recombination hotspots in Saccharomyces cerevisiae

(2019) Hui Yang et al.   BRIEFINGS IN BIOINFORMATICS

iQSP: A Sequence-Based Tool for the Prediction and Analysis of Quorum Sensing Peptides via Chou’s 5-Steps Rule and Informative Physicochemical Properties

(2019) Phasit Charoenkwan et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences

(2018) Zhen Chen et al.   BIOINFORMATICS

Prediction of human protein subcellular localization using deep learning

(2018) Leyi Wei et al.   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING

Lymphocytes are a major source of circulating soluble dipeptidyl peptidase 4

(2018) A. Casrouge et al.   CLINICAL AND EXPERIMENTAL IMMUNOLOGY

Developing a Multi-Dose Computational Model for Drug-induced Hepatotoxicity Prediction based on Toxicogenomics Data

(2018) Ran Su et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representation

(2018) Balachandran Manavalan et al.   BIOINFORMATICS

Identify origin of replication in Saccharomyces cerevisiae using two-step feature selection technique

(2018) Fu-Ying Dao et al.   BIOINFORMATICS

Empirical comparison and analysis of web-based cell-penetrating peptide prediction tools

(2018) Ran Su et al.   BRIEFINGS IN BIOINFORMATICS

Use of DPP-4 inhibitors in type 2 diabetes: focus on sitagliptin

(2016) Bo Ahren   Diabetes Metabolic Syndrome and Obesity-Targets and Therapy

Omarigliptin: First Global Approval

(2015) Celeste B. Burness   DRUGS

PubChem Substance and Compound databases

(2015) Sunghwan Kim et al.   NUCLEIC ACIDS RESEARCH

Alogliptin

(2014) Courtney I. Jarvis et al.   ANNALS OF PHARMACOTHERAPY

In silico approaches to predict the potential of milk protein-derived peptides as dipeptidyl peptidase IV (DPP-IV) inhibitors

(2014) Alice B. Nongonierma et al.   PEPTIDES

A comparative study of the binding modes of recently launched dipeptidyl peptidase IV inhibitors in the active site

(2013) Mika Nabeno et al.   BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS

Inhibition of dipeptidyl peptidase IV and xanthine oxidase by amino acids and dipeptides

(2013) Alice B. Nongonierma et al.   FOOD CHEMISTRY