Nalini Schaduangrat

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

Nalini Schaduangrat, Chanin Nantasenamat, Virapong Prachayasittikul et al. · Molecules · 2019 · 207 citations · Full text

Drug Target, Engineering, Acps Possess +24

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

Md Mehedi Hasan, Nalini Schaduangrat, Shaherin Basith et al. · Bioinformatics · 2020 · 201 citations

Meta-iAVP: A Sequence-Based Meta-Predictor for Improving the Prediction of Antiviral Peptides Using Effective Feature Representation

Nalini Schaduangrat, Chanin Nantasenamat, Virapong Prachayasittikul et al. · International Journal of Molecular Sciences · 2019 · 131 citations · Full text

Engineering, Machine Learning, Immunology +17

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

Phasit Charoenkwan, Janchai Yana, Nalini Schaduangrat et al. · Genomics · 2020 · 125 citations

Biochemistry, Bitter Peptides, Medicine +9

THPep: A machine learning-based approach for predicting tumor homing peptides

Watshara Shoombuatong, Nalini Schaduangrat, Reny Pratiwi et al. · Computational Biology and Chemistry · 2019 · 84 citations

Engineering, Tumor Homing Peptides, Medicine +13