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2021
PA-PseU: An incremental passive-aggressive based method for identifying RNA pseudouridine sites via Chou’s 5-steps rule
Chemometrics and Intelligent Laboratory Systems
2021
Using CHOU'S 5-Steps Rule to Predict O-Linked Serine Glycosylation Sites by Blending Position Relative Features and Statistical Moment
IEEE/ACM Transactions on Computational Biology and Bioinformatics
2021
iSUMOK-PseAAC: prediction of lysine sumoylation sites using statistical moments and Chou’s PseAAC
PeerJ
2021
Computational prediction of NO-dependent posttranslational modifications in plants: Current status and perspectives
Plant Physiology and Biochemistry
2021
Biological Mechanisms of S-Nitrosothiol Formation and Degradation: How Is Specificity of S-Nitrosylation Achieved?
Antioxidants
2021
iTAGPred: A Two-Level Prediction Model for Identification of Angiogenesis and Tumor Angiogenesis Biomarkers
Applied Bionics and Biomechanics
2021
Recent Advances in Predicting Protein S-Nitrosylation Sites
BioMed Research International
2021
Optimization of serine phosphorylation prediction in proteins by comparing human engineered features and deep representations
Analytical Biochemistry
2021
Prediction and Analysis of Protein Ubiquitin Sites in the Model Plant A. thaliana
Scientific Programming
2021
Yin and Yang in Post-Translational Modifications of Human D-Amino Acid Oxidase
Frontiers in Molecular Biosciences
2021
iEnhancer-DHF: Identification of Enhancers and Their Strengths Using Optimize Deep Neural Network With Multiple Features Extraction Methods
IEEE Access
2020
Proposing Pseudo Amino Acid Components is an Important Milestone for Proteome and Genome Analyses
International Journal of Peptide Research and Therapeutics
2020
iNR-2L: A two-level sequence-based predictor developed via Chou's 5-steps rule and general PseAAC for identifying nuclear receptors and their families
Genomics
2020
Identification of Lysine Carboxylation Sites in Proteins by Integrating Statistical Moments and Position Relative Features via General PseAAC
Current Bioinformatics
2020
cACP: Classifying anticancer peptides using discriminative intelligent model via Chou’s 5-step rules and general pseudo components
Chemometrics and Intelligent Laboratory Systems
2020
Progresses in Predicting Post-translational Modification
International Journal of Peptide Research and Therapeutics
2020
Glioma stages prediction based on machine learning algorithm combined with protein-protein interaction networks
Genomics
2020
Evolutionary insights into the active-site structures of the metallo-β-lactamase superfamily from a classification study with support vector machine
JBIC Journal of Biological Inorganic Chemistry
2020
Prediction of membrane protein types by fusing protein-protein interaction and protein sequence information
Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics
2020
A pan-cancer assessment of alterations of the kinase domain of ULK1, an upstream regulator of autophagy
Scientific Reports
2020
An Insightful 10-year Recollection Since the Emergence of the 5-steps Rule
Current Pharmaceutical Design
2020
Mechanistic Insights of Chemicals and Drugs as Risk Factors for Systemic Lupus Erythematosus
Current Medicinal Chemistry
2020
iProtease-PseAAC(2L): A two-layer predictor for identifying proteases and their types using Chou's 5-step-rule and general PseAAC
Analytical Biochemistry
2020
Locate-R: Subcellular localization of long non-coding RNAs using nucleotide compositions
Genomics
2020
Plant Life Under Changing Environment
2020
Computational Method for Identifying Malonylation Sites by Using Random Forest Algorithm
Combinatorial Chemistry & High Throughput Screening
2020
Characterization and Identification of Protein S-Nitrosylation Sites Based on Tertiary Structures
International Journal of Bioscience, Biochemistry and Bioinformatics
2020
iPromoter-BnCNN: a novel branched CNN-based predictor for identifying and classifying sigma promoters
Bioinformatics
2020
CanLect-Pred: A Cancer Therapeutics Tool for Prediction of Target Cancerlectins Using Experiential Annotated Proteomic Sequences
IEEE Access
2020
Prediction of S-Sulfenylation Sites Using Statistical Moments Based Features via CHOU’S 5-Step Rule
International Journal of Peptide Research and Therapeutics
2020
Prediction of lysine formylation sites using the composition of k-spaced amino acid pairs via Chou's 5-steps rule and general pseudo components
Genomics
2020
A Sequence-Based Predictor of Zika Virus Proteins Developed by Integration of PseAAC and Statistical Moments
Combinatorial Chemistry & High Throughput Screening
2020
Identification of prokaryotic promoters and their strength by integrating heterogeneous features
Genomics
2020
Prediction of Recombination Spots Using Novel Hybrid Feature Extraction Method via Deep Learning Approach
Frontiers in Genetics
2019
SPrenylC-PseAAC: A sequence-based model developed via Chou's 5-steps rule and general PseAAC for identifying S-prenylation sites in proteins
Journal of Theoretical Biology
2019
pLoc_bal-mGpos: Predict subcellular localization of Gram-positive bacterial proteins by quasi-balancing training dataset and PseAAC
Genomics
2019
Advances in Predicting Subcellular Localization of Multi-label Proteins and its Implication for Developing Multi-target Drugs
Current Medicinal Chemistry
2019
iHyd-PseAAC (EPSV): Identifying Hydroxylation Sites in Proteins by Extracting Enhanced Position and Sequence Variant Feature via Chou's 5- Step Rule and General Pseudo Amino Acid Composition
Current Genomics
2019
UbiSitePred: A novel method for improving the accuracy of ubiquitination sites prediction by using LASSO to select the optimal Chou's pseudo components
Chemometrics and Intelligent Laboratory Systems
2019
pDHS-DSET: Prediction of DNase I hypersensitive sites in plant genome using DS evidence theory
Analytical Biochemistry
2019
iN6-methylat (5-step): identifying DNA N6-methyladenine sites in rice genome using continuous bag of nucleobases via Chou’s 5-step rule
Molecular Genetics and Genomics
2019
Biotechnology
2019
Prediction and functional analysis of prokaryote lysine acetylation site by incorporating six types of features into Chou's general PseAAC
Journal of Theoretical Biology
2019
Identifying N6-methyladenosine sites using extreme gradient boosting system optimized by particle swarm optimizer
Journal of Theoretical Biology
2019
The Impact of Statin Therapy on the Survival of Patients with Gastrointestinal Cancer
Current Drug Targets
2019
SNARE-CNN: a 2D convolutional neural network architecture to identify SNARE proteins from high-throughput sequencing data
PeerJ Computer Science
2019
Established and In-trial GPCR Families in Clinical Trials: A Review for Target Selection
Current Drug Targets
2019
iProt-Sub: a comprehensive package for accurately mapping and predicting protease-specific substrates and cleavage sites
Briefings in Bioinformatics
2019
MsDBP: Exploring DNA-Binding Proteins by Integrating Multiscale Sequence Information via Chou’s Five-Step Rule
Journal of Proteome Research
2019
Quantitative Structure-activity Relationship of Acetylcholinesterase Inhibitors based on mRMR Combined with Support Vector Regression
Letters in Organic Chemistry
2019
iDNA6mA-PseKNC: Identifying DNA N6-methyladenosine sites by incorporating nucleotide physicochemical properties into PseKNC
Genomics
2019
A Linear Regression Predictor for Identifying N6-Methyladenosine Sites Using Frequent Gapped K-mer Pattern
Molecular Therapy - Nucleic Acids
2019
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
Molecular Genetics and Genomics
2019
Impacts of Pseudo Amino Acid Components and 5-steps Rule to Proteomics and Proteome Analysis
Current Topics in Medicinal Chemistry
2019
Identification of S-nitrosylation sites based on multiple features combination
Scientific Reports
2019
pSSbond-PseAAC: Prediction of disulfide bonding sites by integration of PseAAC and statistical moments
Journal of Theoretical Biology
2019
iEnhancer-5Step: Identifying enhancers using hidden information of DNA sequences via Chou's 5-step rule and word embedding
Analytical Biochemistry
2019
dForml(KNN)-PseAAC: Detecting formylation sites from protein sequences using K-nearest neighbor algorithm via Chou's 5-step rule and pseudo components
Journal of Theoretical Biology
2019
Prediction of Nitrosocysteine Sites Using Position and Composition Variant Features
Letters in Organic Chemistry
2019
Relationship Between DNA Methylation in Key Region and the Differential Expressions of Genes in Human Breast Tumor Tissue
DNA and Cell Biology
2019
Identification of Phage Virion Proteins by Using the g-gap Tripeptide Composition
Letters in Organic Chemistry
2019
19F-NMR in Target-based Drug Discovery
Current Medicinal Chemistry
2019
pLoc_bal-mAnimal: predict subcellular localization of animal proteins by balancing training dataset and PseAAC
Bioinformatics
2019
The Cradle of Gordon Life Science Institute and Its Development and Driving Force
International Journal of Biology and Genetics
2019
A Review on the Recent Developments of Sequence-based Protein Feature Extraction Methods
Current Bioinformatics
2019
iN6-Methyl (5-step): Identifying RNA N6-methyladenosine sites using deep learning mode via Chou's 5-step rules and Chou's general PseKNC
Chemometrics and Intelligent Laboratory Systems
2019
Proteomic analysis and prediction of amino acid variations that influence protein posttranslational modifications
Briefings in Bioinformatics
2019
Predicting protein–protein interactions by fusing various Chou's pseudo components and using wavelet denoising approach
Journal of Theoretical Biology
2019
Biological Production of (S)-acetoin: A State-of-the-Art Review
Current Topics in Medicinal Chemistry
2019
iRNA-PseKNC(2methyl): Identify RNA 2'-O-methylation sites by convolution neural network and Chou's pseudo components
Journal of Theoretical Biology
2019
An Epidemic Avian Influenza Prediction Model Based on Google Trends
Letters in Organic Chemistry
2019
Recent Advances in Computational Methods for Identifying Anticancer Peptides
Current Drug Targets
2019
pLoc_bal-mHum: Predict subcellular localization of human proteins by PseAAC and quasi-balancing training dataset
Genomics
2019
iPPI-PseAAC(CGR): Identify protein-protein interactions by incorporating chaos game representation into PseAAC
Journal of Theoretical Biology
2019
IMKPse: Identification of Protein Malonylation Sites by the Key Features Into General PseAAC
IEEE Access
2019
iPSW(2L)-PseKNC: A two-layer predictor for identifying promoters and their strength by hybrid features via pseudo K-tuple nucleotide composition
Genomics
2019
Identifying Cancer Targets Based on Machine Learning Methods via Chou’s 5-steps Rule and General Pseudo Components
Current Topics in Medicinal Chemistry
2019
iSulfoTyr-PseAAC: Identify Tyrosine Sulfation Sites by Incorporating Statistical Moments via Chou’s 5-steps Rule and Pseudo Components
Current Genomics
2019
iRSpot-PDI: Identification of recombination spots by incorporating dinucleotide property diversity information into Chou's pseudo components
Genomics
2019
iMethylK-PseAAC: Improving Accuracy of Lysine Methylation Sites Identification by Incorporating Statistical Moments and Position Relative Features into General PseAAC via Chou’s 5-steps Rule
Current Genomics
2019
iDNA6mA (5-step rule): Identification of DNA N6-methyladenine sites in the rice genome by intelligent computational model via Chou's 5-step rule
Chemometrics and Intelligent Laboratory Systems
2019
SPalmitoylC-PseAAC: A sequence-based model developed via Chou's 5-steps rule and general PseAAC for identifying S-palmitoylation sites in proteins
Analytical Biochemistry
2019
Identifying residues that determine palmitoylation using association rule mining
Bioinformatics
2018
pLoc-mEuk: Predict subcellular localization of multi-label eukaryotic proteins by extracting the key GO information into general PseAAC
Genomics
2018
iEnhancer-EL: identifying enhancers and their strength with ensemble learning approach
Bioinformatics
2018
Human serine racemase is nitrosylated at multiple sites
Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics
2018
iRO-3wPseKNC: identify DNA replication origins by three-window-based PseKNC
Bioinformatics
2018
Methods in Molecular Biology
2018
LAIPT: Lysine Acetylation Site Identification with Polynomial Tree
International Journal of Molecular Sciences
2018
PseUI: Pseudouridine sites identification based on RNA sequence information
BMC Bioinformatics
2018
Analysis and prediction of ion channel inhibitors by using feature selection and Chou's general pseudo amino acid composition
Journal of Theoretical Biology
2018
pLoc-mGneg: Predict subcellular localization of Gram-negative bacterial proteins by deep gene ontology learning via general PseAAC
Genomics
2018
Computational Structural Biology of S-nitrosylation of Cancer Targets
Frontiers in Oncology
2018
O-GlcNAcPRED-II: an integrated classification algorithm for identifying O-GlcNAcylation sites based on fuzzy undersampling and a K-means PCA oversampling technique
Bioinformatics
2018
Detecting Succinylation sites from protein sequences using ensemble support vector machine
BMC Bioinformatics
2018
EvoStruct-Sub: An accurate Gram-positive protein subcellular localization predictor using evolutionary and structural features
Journal of Theoretical Biology
2018
Identify Gram-negative bacterial secreted protein types by incorporating different modes of PSSM into Chou’s general PseAAC via Kullback–Leibler divergence
Journal of Theoretical Biology
2018
RBSURFpred: Modeling protein accessible surface area in real and binary space using regularized and optimized regression
Journal of Theoretical Biology
2018
70ProPred: a predictor for discovering sigma70 promoters based on combining multiple features
BMC Systems Biology
2018
Efficient computational model for classification of protein localization images using Extended Threshold Adjacency Statistics and Support Vector Machines
Computer Methods and Programs in Biomedicine
2018
iLoc-lncRNA: predict the subcellular location of lncRNAs by incorporating octamer composition into general PseKNC
Bioinformatics
2018
iKcr-PseEns: Identify lysine crotonylation sites in histone proteins with pseudo components and ensemble classifier
Genomics
2018
DPP-PseAAC: A DNA-binding protein prediction model using Chou’s general PseAAC
Journal of Theoretical Biology
2018
Improving succinylation prediction accuracy by incorporating the secondary structure via helix, strand and coil, and evolutionary information from profile bigrams
PLOS ONE
2018
BlaPred: Predicting and classifying β-lactamase using a 3-tier prediction system via Chou's general PseAAC
Journal of Theoretical Biology
2018
Quokka: a comprehensive tool for rapid and accurate prediction of kinase family-specific phosphorylation sites in the human proteome
Bioinformatics
2018
Prediction of DNase I hypersensitive sites in plant genome using multiple modes of pseudo components
Analytical Biochemistry
2018
NucPosPred: Predicting species-specific genomic nucleosome positioning via four different modes of general PseKNC
Journal of Theoretical Biology
2018
pLoc-mHum: predict subcellular localization of multi-location human proteins via general PseAAC to winnow out the crucial GO information
Bioinformatics
2018
Assessing the Performances of Protein Function Prediction Algorithms from the Perspectives of Identification Accuracy and False Discovery Rate
International Journal of Molecular Sciences
2018
iRNA-3typeA: Identifying Three Types of Modification at RNA’s Adenosine Sites
Molecular Therapy - Nucleic Acids
2018
Predicting lysine lipoylation sites using bi-profile bayes feature extraction and fuzzy support vector machine algorithm
Analytical Biochemistry
2018
iPhosY-PseAAC: identify phosphotyrosine sites by incorporating sequence statistical moments into PseAAC
Molecular Biology Reports
2018
iPromoter-2L: a two-layer predictor for identifying promoters and their types by multi-window-based PseKNC
Bioinformatics
2018
Analysis and prediction of presynaptic and postsynaptic neurotoxins by Chou's general pseudo amino acid composition and motif features
Journal of Theoretical Biology
2018
Prediction of S-sulfenylation sites using mRMR feature selection and fuzzy support vector machine algorithm
Journal of Theoretical Biology
2018
pLoc_bal-mGneg: Predict subcellular localization of Gram-negative bacterial proteins by quasi-balancing training dataset and general PseAAC
Journal of Theoretical Biology
2018
iRNA(m6A)-PseDNC: Identifying N6-methyladenosine sites using pseudo dinucleotide composition
Analytical Biochemistry
2017
Prediction of interface residue based on the features of residue interaction network
Journal of Theoretical Biology
2017
Transmembrane region prediction by using sequence-derived features and machine learning methods
RSC Advances
2017
pDHS-SVM: A prediction method for plant DNase I hypersensitive sites based on support vector machine
Journal of Theoretical Biology
2017
2L-PCA: a two-level principal component analyzer for quantitative drug design and its applications
Oncotarget
2017
Pse-Analysis: a python package for DNA/RNA and protein/peptide sequence analysis based on pseudo components and kernel methods
Oncotarget
2017
Genome-Wide Prediction of DNA Methylation Using DNA Composition and Sequence Complexity in Human
International Journal of Molecular Sciences
2017
iRNA-PseColl: Identifying the Occurrence Sites of Different RNA Modifications by Incorporating Collective Effects of Nucleotides into PseKNC
Molecular Therapy - Nucleic Acids
2017
pLoc-mGpos: Incorporate Key Gene Ontology Information into General PseAAC for Predicting Subcellular Localization of Gram-Positive Bacterial Proteins
Natural Science
2017
iATC-mHyb: a hybrid multi-label classifier for predicting the classification of anatomical therapeutic chemicals
Oncotarget
2017
iRNA-AI: identifying the adenosine to inosine editing sites in RNA sequences
Oncotarget
2017
Small molecular floribundiquinone B derived from medicinal plants inhibits acetylcholinesterase activity
Oncotarget
2017
S-SulfPred: A sensitive predictor to capture S-sulfenylation sites based on a resampling one-sided selection undersampling-synthetic minority oversampling technique
Journal of Theoretical Biology
2017
Prediction of protein N-formylation using the composition of k-spaced amino acid pairs
Analytical Biochemistry
2017
Highly accurate prediction of protein self-interactions by incorporating the average block and PSSM information into the general PseAAC
Journal of Theoretical Biology
2017
2L-piRNA: A Two-Layer Ensemble Classifier for Identifying Piwi-Interacting RNAs and Their Function
Molecular Therapy - Nucleic Acids
2017
A novel feature ranking method for prediction of cancer stages using proteomics data
PLOS ONE
2017
Multi-iPPseEvo: A Multi-label Classifier for Identifying Human Phosphorylated Proteins by Incorporating Evolutionary Information into Chou′s General PseAAC via Grey System Theory
Molecular Informatics
2017
Prediction of lysine crotonylation sites by incorporating the composition of k -spaced amino acid pairs into Chou’s general PseAAC
Journal of Molecular Graphics and Modelling
2017
Protein–protein interaction site predictions with minimum covariance determinant and Mahalanobis distance
Journal of Theoretical Biology
2017
Prediction of lysine propionylation sites using biased SVM and incorporating four different sequence features into Chou’s PseAAC
Journal of Molecular Graphics and Modelling
2017
pLoc-mPlant: predict subcellular localization of multi-location plant proteins by incorporating the optimal GO information into general PseAAC
Molecular BioSystems
2017
Advances in Computational Intelligence and Robotics
2017
Predicting protein amidation sites by orchestrating amino acid sequence features
Journal of Physics: Conference Series
2017
pLoc-mVirus: Predict subcellular localization of multi-location virus proteins via incorporating the optimal GO information into general PseAAC
Gene
2017
Generation of nitric oxide by olive ( Olea europaea L.) pollen during in vitro germination and assessment of the S-nitroso- and nitro-proteomes by computational predictive methods
Nitric Oxide
2017
S -nitroso- and nitro- proteomes in the olive ( Olea europaea L.) pollen. Predictive versus experimental data by nano-LC-MS
Data in Brief
2017
iRNAm5C-PseDNC: identifying RNA 5-methylcytosine sites by incorporating physical-chemical properties into pseudo dinucleotide composition
Oncotarget
2017
EnhancerPred2.0: predicting enhancers and their strength based on position-specific trinucleotide propensity and electron–ion interaction potential feature selection
Molecular BioSystems
2017
iACP-GAEnsC: Evolutionary genetic algorithm based ensemble classification of anticancer peptides by utilizing hybrid feature space
Artificial Intelligence in Medicine
2017
Extracting features from protein sequences to improve deep extreme learning machine for protein fold recognition
Journal of Theoretical Biology
2016
iSuc-PseOpt: Identifying lysine succinylation sites in proteins by incorporating sequence-coupling effects into pseudo components and optimizing imbalanced training dataset
Analytical Biochemistry
2016
iEnhancer-2L: a two-layer predictor for identifying enhancers and their strength by pseudok-tuple nucleotide composition
Bioinformatics
2016
iAFP-Ense: An Ensemble Classifier for Identifying Antifreeze Protein by Incorporating Grey Model and PSSM into PseAAC
The Journal of Membrane Biology
2016
iMiRNA-PseDPC: microRNA precursor identification with a pseudo distance-pair composition approach
Journal of Biomolecular Structure and Dynamics
2016
Predicting Golgi-resident protein types using pseudo amino acid compositions: Approaches with positional specific physicochemical properties
Journal of Theoretical Biology
2016
iOri-Human: identify human origin of replication by incorporating dinucleotide physicochemical properties into pseudo nucleotide composition
Oncotarget
2016
iPTM-mLys: identifying multiple lysine PTM sites and their different types
Bioinformatics
2016
iRSpot-GAEnsC: identifing recombination spots via ensemble classifier and extending the concept of Chou’s PseAAC to formulate DNA samples
Molecular Genetics and Genomics
2016
iACP: a sequence-based tool for identifying anticancer peptides
Oncotarget
2016
iPhos-PseEn: Identifying phosphorylation sites in proteins by fusing different pseudo components into an ensemble classifier
Oncotarget
2016
iNuc-STNC: a sequence-based predictor for identification of nucleosome positioning in genomes by extending the concept of SAAC and Chou's PseAAC
Molecular BioSystems
2016
“iSS-Hyb-mRMR”: Identification of splicing sites using hybrid space of pseudo trinucleotide and pseudo tetranucleotide composition
Computer Methods and Programs in Biomedicine
2016
Identification of S-glutathionylation sites in species-specific proteins by incorporating five sequence-derived features into the general pseudo-amino acid composition
Journal of Theoretical Biology
2016
Identification of protein-protein binding sites by incorporating the physicochemical properties and stationary wavelet transforms into pseudo amino acid composition
Journal of Biomolecular Structure and Dynamics
2016
iPPBS-Opt: A Sequence-Based Ensemble Classifier for Identifying Protein-Protein Binding Sites by Optimizing Imbalanced Training Datasets
Molecules
2016
An estimator for local analysis of genome based on the minimal absent word
Journal of Theoretical Biology
2016
Predicting DNA Methylation State of CpG Dinucleotide Using Genome Topological Features and Deep Networks
Scientific Reports
2016
iROS-gPseKNC: Predicting replication origin sites in DNA by incorporating dinucleotide position-specific propensity into general pseudo nucleotide composition
Oncotarget
2016
iCar-PseCp: identify carbonylation sites in proteins by Monte Carlo sampling and incorporating sequence coupled effects into general PseAAC
Oncotarget
2016
Predicting lysine phosphoglycerylation with fuzzy SVM by incorporating k-spaced amino acid pairs into Chou׳s general PseAAC
Journal of Theoretical Biology
2015
Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences
Molecular BioSystems
2015
PseDNA-Pro: DNA-Binding Protein Identification by Combining Chou’s PseAAC and Physicochemical Distance Transformation
Molecular Informatics
2015
iPPI-Esml: An ensemble classifier for identifying the interactions of proteins by incorporating their physicochemical properties and wavelet transforms into PseAAC
Journal of Theoretical Biology
2015
PGlcS: Prediction of protein O-GlcNAcylation sites with multiple features and analysis
Journal of Theoretical Biology
2015
Role of structural flexibility in the evolution of emerin
Journal of Theoretical Biology
2015
iUbiq-Lys: prediction of lysine ubiquitination sites in proteins by extracting sequence evolution information via a gray system model
Journal of Biomolecular Structure and Dynamics
2015
iLM-2L: A two-level predictor for identifying protein lysine methylation sites and their methylation degrees by incorporating K-gap amino acid pairs into Chou׳s general PseAAC
Journal of Theoretical Biology
2015
miRNA-dis: microRNA precursor identification based on distance structure status pairs
Molecular BioSystems
2015
iRNA-Methyl: Identifying N6-methyladenosine sites using pseudo nucleotide composition
Analytical Biochemistry
2015
TargetFreeze: Identifying Antifreeze Proteins via a Combination of Weights using Sequence Evolutionary Information and Pseudo Amino Acid Composition
The Journal of Membrane Biology
2015
Discrimination of membrane transporter protein types using K-nearest neighbor method derived from the similarity distance of total diversity measure
Molecular BioSystems
2015
3D model for Cancerous Inhibitor of Protein Phosphatase 2A armadillo domain unveils highly conserved protein–protein interaction characteristics
Journal of Theoretical Biology
2015
iTIS-PseKNC: Identification of Translation Initiation Site in human genes using pseudo k-tuple nucleotides composition
Computers in Biology and Medicine
2015
iDrug-Target: predicting the interactions between drug compounds and target proteins in cellular networking via benchmark dataset optimization approach
Journal of Biomolecular Structure and Dynamics
2015
Identification of microRNA precursor with the degenerate K-tuple or Kmer strategy
Journal of Theoretical Biology
2015
Probabilistic expression of spatially varied amino acid dimers into general form of Chou׳s pseudo amino acid composition for protein fold recognition
Journal of Theoretical Biology
2015
Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou׳s general PseAAC
Journal of Theoretical Biology
2015
Identifying DNA-binding proteins by combining support vector machine and PSSM distance transformation
BMC Systems Biology
2014
Protein fold recognition by alignment of amino acid residues using kernelized dynamic time warping
Journal of Theoretical Biology
2014
Identifying ion channel genes related to cardiomyopathy using a novel decision forest strategy
Molecular BioSystems
2014
GPCRserver: an accurate and novel G protein-coupled receptor predictor
Mol. BioSyst.
2014
Computational Prediction of Candidate Proteins for S-Nitrosylation in Arabidopsis thaliana
PLoS ONE
2014
Prediction of bacterial protein subcellular localization by incorporating various features into Chou's PseAAC and a backward feature selection approach
Biochimie
2014
Neural network and SVM classifiers accurately predict lipid binding proteins, irrespective of sequence homology
Journal of Theoretical Biology
2014
A protein structural classes prediction method based on PSI-BLAST profile
Journal of Theoretical Biology
2014
iCTX-Type: A Sequence-Based Predictor for Identifying the Types of Conotoxins in Targeting Ion Channels
BioMed Research International
2014
Prediction of Protein–Protein Interaction with Pairwise Kernel Support Vector Machine
International Journal of Molecular Sciences
2014
Prediction of Protein S-Nitrosylation Sites Based on Adapted Normal Distribution Bi-Profile Bayes and Chou’s Pseudo Amino Acid Composition
International Journal of Molecular Sciences
2014
Combining evolutionary information extracted from frequency profiles with sequence-based kernels for protein remote homology detection
Bioinformatics
2014
iNR-Drug: Predicting the Interaction of Drugs with Nuclear Receptors in Cellular Networking
International Journal of Molecular Sciences
2014
PSNO: Predicting Cysteine S-Nitrosylation Sites by Incorporating Various Sequence-Derived Features into the General Form of Chou’s PseAAC
International Journal of Molecular Sciences
2014
Transmission of intra-cellular genetic information: A system proposal
Journal of Theoretical Biology
2014
Multi-Label Learning With Fuzzy Hypergraph Regularization for Protein Subcellular Location Prediction
IEEE Transactions on NanoBioscience
2014
Human proteins characterization with subcellular localizations
Journal of Theoretical Biology
2014
An effective haplotype assembly algorithm based on hypergraph partitioning
Journal of Theoretical Biology
2014
Prediction of posttranslational modification sites from amino acid sequences with kernel methods
Journal of Theoretical Biology
2014
iRSpot-TNCPseAAC: Identify Recombination Spots with Trinucleotide Composition and Pseudo Amino Acid Components
International Journal of Molecular Sciences
2014
iHyd-PseAAC: Predicting Hydroxyproline and Hydroxylysine in Proteins by Incorporating Dipeptide Position-Specific Propensity into Pseudo Amino Acid Composition
International Journal of Molecular Sciences
2014
Sequence-specific flexibility organization of splicing flanking sequence and prediction of splice sites in the human genome
Chromosome Research
2014
iTIS-PseTNC: A sequence-based predictor for identifying translation initiation site in human genes using pseudo trinucleotide composition
Analytical Biochemistry
2014
iSS-PseDNC: Identifying Splicing Sites Using Pseudo Dinucleotide Composition
BioMed Research International
2014
TIBS: A web database to browse gene expression in irritable bowel syndrome
Journal of Theoretical Biology
2014
iPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition
Nucleic Acids Research
2014
Prediction of the determinants of thermal stability by linear discriminant analysis: The case of the glutamate dehydrogenase protein family
Journal of Theoretical Biology
2014
R3P-Loc: A compact multi-label predictor using ridge regression and random projection for protein subcellular localization
Journal of Theoretical Biology
2014
Prediction of protein structure classes by incorporating different protein descriptors into general Chou’s pseudo amino acid composition
Journal of Theoretical Biology
2014
iNitro-Tyr: Prediction of Nitrotyrosine Sites in Proteins with General Pseudo Amino Acid Composition
PLoS ONE
2014
iMethyl-PseAAC: Identification of Protein Methylation Sites via a Pseudo Amino Acid Composition Approach
BioMed Research International
2014
iDNA-Prot|dis: Identifying DNA-Binding Proteins by Incorporating Amino Acid Distance-Pairs and Reduced Alphabet Profile into the General Pseudo Amino Acid Composition
PLoS ONE
2014
Constructing a linear QSAR for some metabolizable drugs by human or pig flavin-containing monooxygenases using some molecular features selected by a genetic algorithm trained SVM
Journal of Theoretical Biology
2014
PseKNC: A flexible web server for generating pseudo K-tuple nucleotide composition
Analytical Biochemistry
2014
A set of descriptors for identifying the protein–drug interaction in cellular networking
Journal of Theoretical Biology
2013
PFP-RFSM: Protein fold prediction by using random forests and sequence motifs
Journal of Biomedical Science and Engineering
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