iAFPs-EnC-GA: Identifying antifungal peptides using sequential and evolutionary descriptors based multi-information fusion and ensemble learning approach

Ensemble of Multiple Classifiers for Multilabel Classification of Plant Protein Subcellular Localization

(2021) Warin Wattanapornprom et al.   Life-Basel

piEnPred: a bi-layered discriminative model for enhancers and their subtypes via novel cascade multi-level subset feature selection algorithm

(2021) Zaheer Ullah Khan et al.   Frontiers of Computer Science

DBP-GAPred: An intelligent method for prediction of DNA-binding proteins types by enhanced evolutionary profile features with ensemble learning

(2021) Omar Barukab et al.   Journal of Bioinformatics and Computational Biology

iAtbP-Hyb-EnC: Prediction of antitubercular peptides via heterogeneous feature representation and genetic algorithm based ensemble learning model

(2021) Shahid Akbar et al.   COMPUTERS IN BIOLOGY AND MEDICINE

AFP-CMBPred: Computational identification of antifreeze proteins by extending consensus sequences into multi-blocks evolutionary information

(2021) Farman Ali et al.   COMPUTERS IN BIOLOGY AND MEDICINE

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

(2020) Shaherin Basith et al.   MEDICINAL RESEARCH REVIEWS

Antifungal Peptides as Therapeutic Agents

(2020) Miguel Fernández de Ullivarri et al.   Frontiers in Cellular and Infection Microbiology

Ensemble Learning for Hyperspectral Image Classification Using Tangent Collaborative Representation

(2020) Hongjun Su et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

iHBP-DeepPSSM: Identifying hormone binding proteins using PsePSSM based evolutionary features and deep learning approach

(2020) Shahid Akbar et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Antimicrobial Peptides as Potential Antiviral Factors in Insect Antiviral Immune Response

(2020) Min Feng et al.   Frontiers in Immunology

Identification of antioxidant proteins using a discriminative intelligent model of k-spaced amino acid pairs based descriptors incorporating with ensemble feature selection

(2020) Ashfaq Ahmad et al.   Biocybernetics and Biomedical Engineering

Deep-AntiFP: Prediction of antifungal peptides using distanct multi-informative features incorporating with deep neural networks

(2020) Ashfaq Ahmad et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

DP-BINDER: machine learning model for prediction of DNA-binding proteins by fusing evolutionary and physicochemical information

(2019) Farman Ali et al.   JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN

Accurate prediction of potential druggable proteins based on genetic algorithm and Bagging-SVM ensemble classifier

(2019) Jianying Lin et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

iRSpot-SPI: Deep learning-based recombination spots prediction by incorporating secondary sequence information coupled with physio-chemical properties via Chou's 5-step rule and pseudo components

(2019) Zaheer Ullah Khan et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

iRNA-PseTNC: identification of RNA 5-methylcytosine sites using hybrid vector space of pseudo nucleotide composition

(2019) Shahid Akbar et al.   Frontiers of Computer Science

iPredCNC: Computational prediction model for cancerlectins and non-cancerlectins using novel cascade features subset selection

(2019) Zaheer Ullah Khan et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

cACP: Classifying anticancer peptides using discriminative intelligent model via Chou’s 5-step rules and general pseudo components

(2019) Shahid Akbar et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

iEnhancer-EL: Identifying enhancers and their strength with ensemble learning approach

(2018) Bin Liu et al.   BIOINFORMATICS

Machine-Learning-Based Prediction of Cell-Penetrating Peptides and Their Uptake Efficiency with Improved Accuracy

(2018) Balachandran Manavalan et al.   JOURNAL OF PROTEOME RESEARCH

iMethyl-STTNC: Identification of N 6 -methyladenosine sites by extending the Idea of SAAC into Chou's PseAAC to formulate RNA sequences

(2018) Shahid Akbar et al.   JOURNAL OF THEORETICAL BIOLOGY

In Silico Approach for Prediction of Antifungal Peptides

(2018) Piyush Agrawal et al.   Frontiers in Microbiology

Computational Prediction of Antifungal Peptides via Chou's PseAAC and SVM

(2018) Maryam Mousavizadegan et al.   Journal of Bioinformatics and Computational Biology

DBPPred-PDSD: Machine learning approach for prediction of DNA-binding proteins using Discrete Wavelet Transform and optimized integrated features space

(2018) Farman Ali et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

KELM-CPPpred: Kernel Extreme Learning Machine Based Prediction Model for Cell-Penetrating Peptides

(2018) Poonam Pandey et al.   JOURNAL OF PROTEOME RESEARCH

iAFP-gap-SMOTE: An efficient feature extraction scheme gapped dipeptide composition is coupled with oversampling technique for Identification of Antifreeze proteins

(2018) Shahid Akbar et al.   LETTERS IN ORGANIC CHEMISTRY

Explainable machine-learning predictions for the prevention of hypoxaemia during surgery

(2018) Scott M. Lundberg et al.   Nature Biomedical Engineering

Antimicrobial peptides: Promising alternatives in the post feeding antibiotic era

(2018) Jiajun Wang et al.   MEDICINAL RESEARCH REVIEWS

iNuc-ext-PseTNC: an efficient ensemble model for identification of nucleosome positioning by extending the concept of Chou’s PseAAC to pseudo-tri-nucleotide composition

(2018) Muhammad Tahir et al.   MOLECULAR GENETICS AND GENOMICS

Prediction of Antimicrobial Potential of a Chemically Modified Peptide From Its Tertiary Structure

(2018) Piyush Agrawal et al.   Frontiers in Microbiology

A review on multiple sequence alignment from the perspective of genetic algorithm

(2017) Biswanath Chowdhury et al.   GENOMICS

Protein-Protein Interactions Prediction Using a Novel Local Conjoint Triad Descriptor of Amino Acid Sequences

(2017) Jun Wang et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

2L-piRNA: A Two-Layer Ensemble Classifier for Identifying Piwi-Interacting RNAs and Their Function

(2017) Bin Liu et al.   Molecular Therapy-Nucleic Acids

TargetCrys: protein crystallization prediction by fusing multi-view features with two-layered SVM

(2016) Jun Hu et al.   AMINO ACIDS

iRSpot-EL: identify recombination spots with an ensemble learning approach

(2016) Bin Liu et al.   BIOINFORMATICS

A segmentation based model for subcellular location prediction of apoptosis protein

(2016) Qi Dai et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Antimicrobial peptides (AMPs) as drug candidates: a patent review (2003–2015)

(2016) Paulina Kosikowska et al.   EXPERT OPINION ON THERAPEUTIC PATENTS

iAFP-Ense: An Ensemble Classifier for Identifying Antifreeze Protein by Incorporating Grey Model and PSSM into PseAAC

(2016) Xuan Xiao et al.   JOURNAL OF MEMBRANE BIOLOGY

Machine learning approaches for discrimination of Extracellular Matrix proteins using hybrid feature space

(2016) Farman Ali et al.   JOURNAL OF THEORETICAL BIOLOGY

Performance evaluation of different machine learning techniques for prediction of heart disease

(2016) Ashok Kumar Dwivedi   NEURAL COMPUTING & APPLICATIONS

Identification of DNA binding proteins using evolutionary profiles position specific scoring matrix

(2016) Muhammad Waris et al.   NEUROCOMPUTING

Multi-location gram-positive and gram-negative bacterial protein subcellular localization using gene ontology and multi-label classifier ensemble

(2015) Xiao Wang et al.   BMC BIOINFORMATICS

Accurate prediction of protein structural classes by incorporating PSSS and PSSM into Chou's general PseAAC

(2015) Shengli Zhang   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Antimicrobial and Antiparasitic Activity of Lectins

(2015) Florin Iordache et al.   CURRENT PHARMACEUTICAL BIOTECHNOLOGY

Classification of membrane protein types using Voting Feature Interval in combination with Chou׳s Pseudo Amino Acid Composition

(2015) Farman Ali et al.   JOURNAL OF THEORETICAL BIOLOGY

iRSpot-GAEnsC: identifing recombination spots via ensemble classifier and extending the concept of Chou’s PseAAC to formulate DNA samples

(2015) Muhammad Kabir et al.   MOLECULAR GENETICS AND GENOMICS

DNA binding protein identification by combining pseudo amino acid composition and profile-based protein representation

(2015) Bin Liu et al.   Scientific Reports

Application of wavelet entropy in analysis of electrochemical noise for corrosion type identification

(2014) Reza Moshrefi et al.   ELECTROCHEMISTRY COMMUNICATIONS

CancerPPD: a database of anticancer peptides and proteins

(2014) Atul Tyagi et al.   NUCLEIC ACIDS RESEARCH

From antimicrobial to anticancer peptides. A review

(2013) Diana Gaspar et al.   Frontiers in Microbiology

The Future of Peptide-based Drugs

(2012) David J. Craik et al.   Chemical Biology & Drug Design

Antibiotic-Resistant Bacteria: A Challenge for the Food Industry

(2012) Rosa Capita et al.   CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION

ClassAMP: A Prediction Tool for Classification of Antimicrobial Peptides

(2012) Shaini Joseph et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Identifying protein quaternary structural attributes by incorporating physicochemical properties into the general form of Chou's PseAAC via discrete wavelet transform

(2012) Xing-Yu Sun et al.   Molecular BioSystems

Prediction of membrane proteins using split amino acid and ensemble classification

(2011) Maqsood Hayat et al.   AMINO ACIDS

Ensemble-based classifiers

(2009) Lior Rokach   ARTIFICIAL INTELLIGENCE REVIEW