SCORPION is a stacking-based ensemble learning framework for accurate prediction of phage virion proteins

Plasma Hsp90 levels in patients with systemic sclerosis and relation to lung and skin involvement: a cross-sectional and longitudinal study

(2021) Hana Štorkánová 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

STALLION: a stacking-based ensemble learning framework for prokaryotic lysine acetylation site prediction

(2021) Shaherin Basith et al.   BRIEFINGS IN BIOINFORMATICS

iPVP-MCV: A Multi-Classifier Voting Model for the Accurate Identification of Phage Virion Proteins

(2021) Haitao Han et al.   Symmetry-Basel

StackHCV: a web-based integrative machine-learning framework for large-scale identification of hepatitis C virus NS5B inhibitors

(2021) Aijaz Ahmad Malik et al.   JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN

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

(2021) Phasit Charoenkwan et al.   METHODS

PVPred-SCM: Improved Prediction and Analysis of Phage Virion Proteins Using a Scoring Card Method

(2020) Phasit Charoenkwan et al.   Cells

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

(2020) Ruopeng Xie et al.   BRIEFINGS IN BIOINFORMATICS

Prediction of human phosphorylated proteins by extracting multi-perspective discriminative features from the evolutionary profile and physicochemical properties through LFDA

(2020) Saeed Ahmed et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

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

Meta-i6mA: an interspecies predictor for identifying DNA N6-methyladenine sites of plant genomes by exploiting informative features in an integrative machine-learning framework

(2020) Md Mehedi Hasan et al.   BRIEFINGS IN BIOINFORMATICS

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

DeepMal: Accurate prediction of protein malonylation sites by deep neural networks

(2020) Minghui Wang et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Identification of Phage Viral Proteins With Hybrid Sequence Features

(2019) Xiaoqing Ru et al.   Frontiers in Microbiology

Pred-BVP-Unb: Fast prediction of bacteriophage Virion proteins using un-biased multi-perspective properties with recursive feature elimination

(2019) Muhammad Arif et al.   GENOMICS

iProEP: A Computational Predictor for Predicting Promoter

(2019) Hong-Yan Lai 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

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

(2018) Zhen Chen et al.   BIOINFORMATICS

Identification of Bacteriophage Virion Proteins Using Multinomial Naïve Bayes with g-Gap Feature Tree

(2018) Yanyuan Pan et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

PVP-SVM: Sequence-Based Prediction of Phage Virion Proteins Using a Support Vector Machine

(2018) Balachandran Manavalan et al.   Frontiers in Microbiology

iTerm-PseKNC: a sequence-based tool for predicting bacterial transcriptional terminators

(2018) Chao-Qin Feng et al.   BIOINFORMATICS

Identifying Phage Virion Proteins by Using Two-Step Feature Selection Methods

(2018) Jiu-Xin Tan et al.   MOLECULES

UniProt: a worldwide hub of protein knowledge

(2018)   NUCLEIC ACIDS RESEARCH

Exploring the contribution of bacteriophages to antibiotic resistance

(2017) Itziar Lekunberri et al.   ENVIRONMENTAL POLLUTION

Phage Therapy’s Role in Combating Antibiotic-Resistant Pathogens

(2017) Jeff Lyon   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

An Ensemble Method to Distinguish Bacteriophage Virion from Non-Virion Proteins Based on Protein Sequence Characteristics

(2015) Lina Zhang et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

Estimating confidence intervals for information transfer analysis of confusion matrices

(2014) Mahan Azadpour et al.   JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA

Identification of bacteriophage virion proteins by the ANOVA feature selection and analysis

(2014) Hui Ding et al.   Molecular BioSystems

Revenge of the phages: defeating bacterial defences

(2013) Julie E. Samson et al.   NATURE REVIEWS MICROBIOLOGY

Artificial Neural Networks Trained to Detect Viral and Phage Structural Proteins

(2012) Victor Seguritan et al.   PLoS Computational Biology