[1]
|
Controlling oncogenic KRAS signaling pathways with a Palladium-responsive peptide
|
|
Aymamí, P Martin-Malpartida… - Communications …,
2022 |
|
|
[2]
|
Wenxiang 3.0: Evolutionary Visualization of α, π, and 3/10 Helices
|
|
Evolutionary Bioinformatics,
2022 |
|
|
[3]
|
The significant and profound impacts of Gordon life science institute
|
|
2021 |
|
|
[4]
|
Recent progresses for computationally identifying N6-methyladenosine sites in Saccharomyces cerevisiae
|
|
2020 |
|
|
[5]
|
Helixvis: Visualize α-Helical Peptides in Python
|
|
2020 |
|
|
[6]
|
Using Chou's 5-steps rule to predict O-linked serine glycosylation sites by blending position relative features and statistical moment
|
|
… ACM transactions on …,
2020 |
|
|
[7]
|
Use Chou's 5-steps rule with different word embedding types to boost performance of electron transport protein prediction model
|
|
Quang, V Dinh-Phan… - … /ACM Transactions on …,
2020 |
|
|
[8]
|
RETRACTED ARTICLE: An insightful 20-year recollection since the birth of pseudo amino acid components
|
|
2020 |
|
|
[9]
|
Some illuminating remarks on molecular genetics and genomics as well as drug development
|
|
2020 |
|
|
[10]
|
The Development of Gordon Life Science Institute: Its Driving Force and Accomplishments
|
|
2020 |
|
|
[11]
|
Use Chou's 5-steps rule to predict remote homology proteins by merging grey incidence analysis and domain similarity analysis
|
|
2020 |
|
|
[12]
|
Noah's Ark and Internet Institutes: When and Why?
|
|
2020 |
|
|
[13]
|
Gordon Life Science Institute and Its Impacts on Computational Biology and Drug Development
|
|
2020 |
|
|
[14]
|
The Implication of “I Am the Alpha and the Omega” to Internet Institutes
|
|
2020 |
|
|
[15]
|
The Pandemic Pestilences and Internet Institutes
|
|
2020 |
|
|
[16]
|
The speed of FtsZ treadmilling is tightly regulated by membrane binding
|
|
2020 |
|
|
[17]
|
cACP: Classifying anticancer peptides using discriminative intelligent model via Chou's 5-step rules and general pseudo components
|
|
2019 |
|
|
[18]
|
Advances in predicting subcellular localization of multi-label proteins and its implication for developing multi-target drugs
|
|
2019 |
|
|
[19]
|
An Insightful 10-year Recollection Since the Emergence of the 5-steps Rule.
|
|
2019 |
|
|
[20]
|
An alignment-free measure based on physicochemical properties of amino acids for protein sequence comparison
|
|
2019 |
|
|
[21]
|
VGSC2: Second generation vector graph toolkit of genome synteny and collinearity
|
|
2019 |
|
|
[22]
|
Advance in Predicting Subcellular Localization of Multi-label Proteins and its Implication for Developing Multi-target Drugs
|
|
2019 |
|
|
[23]
|
iRSpot-SPI: Deep learning-based recombination spots prediction by incorporating secondary sequence information coupled with physio-chemical properties via …
|
|
2019 |
|
|
[24]
|
Identification and characterization of WD40 superfamily genes in peach
|
|
2019 |
|
|
[25]
|
Bioimage-based Prediction of Protein Subcellular Location in Human Tissue with Ensemble Features and Deep Networks
|
|
2019 |
|
|
[26]
|
Studying Calcium Ion-Dependent Effect on the Inter-subunit Interaction Between the cTnC N-terminal Domain and cTnI C-terminal Switch Peptide of Human Cardiac …
|
|
2019 |
|
|
[27]
|
Established and In-trial GPCR Families in Clinical Trials: A Review for Target Selection
|
|
2019 |
|
|
[28]
|
iHyd-PseAAC (EPSV): Identifying Hydroxylation Sites in Proteins by Extracting Enhanced Position and Sequence Variant Feature via Chou's 5-Step Rule and General …
|
|
2019 |
|
|
[29]
|
Progresses in predicting post-translational modification
|
|
2019 |
|
|
[30]
|
iHyd-PseAAC (EPSV): Identifying Hydroxylation Sites in Proteins by Extracting Enhanced Position and Sequence Variant Feature via Chou's 5-Step Rule and …
|
|
2019 |
|
|
[31]
|
A two-level computation model based on deep learning algorithm for identification of piRNA and their functions via Chou's 5-steps rule
|
|
2019 |
|
|
[32]
|
Glioma stages prediction based on machine learning algorithm combined with protein-protein interaction networks
|
|
2019 |
|
|
[33]
|
Proposing Pseudo Amino Acid Components is an Important Milestone for Proteome and Genome Analyses
|
|
2019 |
|
|
[34]
|
Identifying DNase I hypersensitive sites using multi-features fusion and F-score features selection via Chou's 5-steps rule
|
|
2019 |
|
|
[35]
|
MsDBP: Exploring DNA-Binding Proteins by Integrating Multiscale Sequence Information via Chou's Five-Step Rule
|
|
2019 |
|
|
[36]
|
Advances in Electrochemistry for Monitoring Cellular Chemical Flux
|
|
2019 |
|
|
[37]
|
Physicochemical n‐Grams Tool: A tool for protein physicochemical descriptor generation via Chou's 5‐steps rule
|
|
2019 |
|
|
[38]
|
Prediction of lysine formylation sites using the composition of k-spaced amino acid pairs via Chou's 5-steps rule and general pseudo components
|
|
2019 |
|
|
[39]
|
Identifying FL11 subtype by characterizing tumor immune microenvironment in prostate adenocarcinoma via Chou's 5-steps rule
|
|
2019 |
|
|
[40]
|
19F-NMR in Target-based Drug Discovery
|
|
2019 |
|
|
[41]
|
MsDBP: Exploring DNA-binding Proteins by Integrating Multi-scale Sequence Information via Chou's 5-steps Rule
|
|
Journal of Proteome Research,
2019 |
|
|
[42]
|
Impacts of pseudo amino acid components and 5-steps rule to proteomics and proteome analysis
|
|
2019 |
|
|
[43]
|
Artificial intelligence (AI) tools constructed via the 5-steps rule for predicting post-translational modifications
|
|
2019 |
|
|
[44]
|
A Study for Therapeutic Treatment against Parkinson's Disease via Chou's 5-steps Rule
|
|
2019 |
|
|
[45]
|
Using Chou's general pseudo amino acid composition to classify laccases from bacterial and fungal sources via Chou's five-step rule
|
|
2019 |
|
|
[46]
|
An insightful 20-year recollection since the birth of pseudo amino acid components
|
|
2019 |
|
|
[47]
|
Calcium Pattern Assessment in Patients with Severe Aortic Stenosis Via the Chou's 5-Steps Rule
|
|
2019 |
|
|
[48]
|
iMethylK-PseAAC: Improving Accuracy of Lysine Methylation Sites Identification by Incorporating Statistical Moments and Position Relative Features into General …
|
|
2019 |
|
|
[49]
|
iSulfoTyr-PseAAC: Identify Tyrosine Sulfation Sites by Incorporating Statistical Moments via Chou's 5-steps Rule and Pseudo Components
|
|
2019 |
|
|
[50]
|
Biological Production of (S)-acetoin: A State-of-the-Art Review
|
|
2019 |
|
|
[51]
|
Using Chou's general PseAAC to analyze the evolutionary relationship of receptor associated proteins (RAP) with various folding patterns of protein domains
|
|
Journal of Theoretical Biology,
2018 |
|
|
[52]
|
iRNA (m6A)-PseDNC: identifying N6-methyladenosine sites using pseudo dinucleotide composition
|
|
Analytical Biochemistry,
2018 |
|
|
[53]
|
In silico identification of lipid-binding α helices of uncoupling protein 1
|
|
2018 |
|
|
[54]
|
Large-scale frequent stem pattern mining in RNA families
|
|
Journal of Theoretical Biology,
2018 |
|
|
[55]
|
iRSpot-DTS: Predict recombination spots by incorporating the dinucleotide-based spare-cross covariance information into Chou's pseudo components
|
|
2018 |
|
|
[56]
|
Prediction of therapeutic peptides by incorporating q-Wiener index into Chou's general PseAAC
|
|
2017 |
|
|
[57]
|
iRNA-PseColl: Identifying the Occurrence Sites of Different RNA Modifications by Incorporating Collective Effects of Nucleotides into PseKNC
|
|
Molecular Therapy - Nucleic Acids,
2017 |
|
|
[58]
|
A novel alignment-free method to classify protein folding types by combining spectral graph clustering with Chou's pseudo amino acid composition
|
|
Journal of Theoretical Biology,
2017 |
|
|
[59]
|
Gene expression and in silico analysis of snakehead murrel interleukin 8 and antimicrobial activity of C-terminal derived peptide WS12
|
|
Veterinary Immunology and Immunopathology,
2017 |
|
|
[60]
|
Sequence-based discrimination of protein-RNA interacting residues using a probabilistic approach
|
|
Journal of Theoretical Biology,
2017 |
|
|
[61]
|
iRNAm5C-PseDNC: identifying RNA 5-methylcytosine sites by incorporating physical-chemical properties into pseudo dinucleotide composition
|
|
Oncotarget,
2017 |
|
|
[62]
|
Metaheuristic Optimization for Parameter Estimation in Kinetic Models of Biological Systems-Recent Development and Future Direction
|
|
Current Bioinformatics,
2017 |
|
|
[63]
|
HIV-1 Nucleotide Sequence Comprehensive Analysis: A Computational Approach
|
|
Current Bioinformatics,
2017 |
|
|
[64]
|
iPreny-PseAAC: identify C-terminal cysteine prenylation sites in proteins by incorporating two tiers of sequence couplings into PseAAC
|
|
Medicinal Chemistry,
2017 |
|
|
[65]
|
An unprecedented revolution in medicinal chemistry driven by the progress of biological science
|
|
Current Topics in Medicinal Chemistry,
2017 |
|
|
[66]
|
Role of dopamine signaling in drug addiction
|
|
Current Topics in Medicinal Chemistry,
2017 |
|
|
[67]
|
iKCR-PseENs: Identify lysine crotonylation sites in histone proteins with pseudo components and ensemble classifier
|
|
Genomics,
2017 |
|
|
[68]
|
Microbial routes to (2R, 3R)-2, 3-butanediol: recent advances and future prospects
|
|
Current Topics in Medicinal Chemistry,
2017 |
|
|
[69]
|
Computational prediction of therapeutic peptides based on graph index
|
|
Journal of Biomedical Informatics,
2017 |
|
|
[70]
|
Effects of ADAMTS14 genetic polymorphism and cigarette smoking on the clinicopathologic development of hepatocellular carcinoma
|
|
PLOS ONE,
2017 |
|
|
[71]
|
2L-piRNA: A Two-Layer Ensemble Classifier for Identifying Piwi-Interacting RNAs and Their Function
|
|
Molecular Therapy - Nucleic Acids,
2017 |
|
|
[72]
|
iROS-gPseKNC: predicting replication origin sites in DNA by incorporating dinucleotide position-specific propensity into general pseudo nucleotide …
|
|
Oncotarget,
2016 |
|
|
[73]
|
Classify vertebrate hemoglobin proteins by incorporating the evolutionary information into the general PseAAC with the hybrid approach
|
|
Journal of Theoretical Biology,
2016 |
|
|
[74]
|
iACP: a sequence-based tool for identifying anticancer peptides
|
|
Oncotarget,
2016 |
|
|
[75]
|
iCar-PseCp: identify carbonylation sites in proteins by Monte Carlo sampling and incorporating sequence coupled effects into general PseAAC
|
|
Oncotarget,
2016 |
|
|
[76]
|
iOri-Human: identify human origin of replication by incorporating dinucleotide physicochemical properties into pseudo nucleotide composition.
|
|
Oncotarget,
2016 |
|
|
[77]
|
iPhos-PseEn: identifying phosphorylation sites in proteins by fusing different pseudo components into an ensemble classifier
|
|
Oncotarget,
2016 |
|
|
[78]
|
iRNA-PseU: Identifying RNA pseudouridine sites
|
|
Molecular Therapy - Nucleic Acids,
2016 |
|
|
[79]
|
An In Silico Approach to Investigation of the Source of Controversial Interpretations about Phenotypic Results of Human AhR-gene G1661A Polymorphism
|
|
Journal of theoretical biology,
2016 |
|
|
[80]
|
tRNAfeature: An Algorithm for tRNA Features to Identify tRNA Genes in DNA Sequences
|
|
Journal of Theoretical Biology,
2016 |
|
|
[81]
|
Integration of multiple biological features yields high confidence human protein interactome
|
|
Journal of theoretical biology,
2016 |
|
|
[82]
|
gDNA-Prot: Predict DNA-binding proteins by employing support vector machine and a novel numerical characterization of protein sequence
|
|
Journal of Theoretical Biology,
2016 |
|
|
[83]
|
Protein sequence analysis by incorporating modified chaos game and physicochemical properties into Chou's general pseudo amino acid composition
|
|
Journal of Theoretical Biology,
2016 |
|
|
[84]
|
Predicting protein structural classes based on complex networks and recurrence analysis
|
|
Journal of Theoretical Biology,
2016 |
|
|
[85]
|
Characterization of BioPlex network by topological properties
|
|
Journal of Theoretical Biology,
2016 |
|
|
[86]
|
Interplay between Catalysts and Substrates for Activity of Class Ib Aminoacyl-tRNA Synthetases and Implications for Pharmacology
|
|
Current topics in medicinal chemistry,
2016 |
|
|
[87]
|
Modulation of cytokine network in the comorbidity of schizophrenia and tuberculosis
|
|
Current topics in medicinal chemistry,
2016 |
|
|
[88]
|
Recent Progresses in Studying Helix-Helix Interactions in Proteins by Incorporating the Wenxiang Diagram into the NMR Spectroscopy
|
|
Current topics in medicinal chemistry,
2016 |
|
|
[89]
|
pSuc-Lys: Predict lysine succinylation sites in proteins with PseAAC and ensemble random forest approach
|
|
Journal of Theoretical Biology,
2016 |
|
|
[90]
|
pRNAm-PC: Predicting N6-methyladenosine sites in RNA sequences via physical–chemical properties
|
|
Analytical Biochemistry,
2016 |
|
|
[91]
|
iSuc-PseOpt: identifying lysine succinylation sites in proteins by incorporating sequence-coupling effects into pseudo components and optimizing imbalanced training …
|
|
Analytical Biochemistry,
2016 |
|
|
[92]
|
iOri-Human: identify human origin of replication by incorporating dinucleotide physicochemical properties into pseudo nucleotide composition
|
|
Oncotarget,
2016 |
|
|
[93]
|
Current progress in structural bioinformatics of protein-biomolecule interactions
|
|
2015 |
|
|
[94]
|
pRNAm-PC: Predicting N 6-methyladenosine sites in RNA sequences via physical–chemical properties
|
|
Analytical biochemistry,
2015 |
|
|
[95]
|
iSuc-PseOpt: Identifying lysine succinylation sites in proteins by incorporating sequence-coupling effects into pseudo components and optimizing imbalanced training dataset
|
|
Analytical biochemistry,
2015 |
|
|
[96]
|
fabp4 is central to eight obesity associated genes: A functional gene network-based polymorphic study
|
|
Journal of theoretical biology,
2015 |
|
|
[97]
|
Identification of Real MicroRNA Precursors with a Pseudo Structure Status Composition Approach.
|
|
PloS one,
2015 |
|
|
[98]
|
Novel 3D Bio-Macromolecular Bilinear Descriptors for Protein Science: Predicting Protein Structural Classes
|
|
Journal of theoretical biology,
2015 |
|
|
[99]
|
Editorial (Thematic Issue: Current Progress in Structural Bioinformatics of Protein-Biomolecule Interactions)
|
|
Medicinal Chemistry,
2015 |
|
|
[100]
|
Impacts of bioinformatics to medicinal chemistry
|
|
Medicinal Chemistry,
2015 |
|
|
[101]
|
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 |
|
|
[102]
|
Some Remarks on Prediction of Protein-Protein Interaction with Machine Learning
|
|
Medicinal Chemistry,
2015 |
|
|
[103]
|
Editorial: current progress in structural bioinformatics of protein-biomolecule interactions.
|
|
Medicinal chemistry (Shāriqah (United Arab Emirates)),
2015 |
|
|
[104]
|
A Novel Cylindrical Representation for Characterizing Intrinsic Properties of Protein Sequences
|
|
Journal of chemical information and modeling,
2015 |
|
|
[105]
|
Advances in Protein Contact Map Prediction Based on Machine Learning
|
|
Medicinal Chemistry,
2015 |
|
|
[106]
|
Recent Development of Peptide Drugs and Advance on Theory and Methodology of Peptide Inhibitor Design
|
|
Medicinal Chemistry,
2015 |
|
|
[107]
|
Identification of real microRNA precursors with a pseudo structure status composition approach
|
|
PLOS ONE,
2015 |
|
|
[108]
|
current progress in structural bioinformatics of protein-biomolecule interactions.
|
|
Medicinal chemistry (Shariqah (United Arab Emirates)),
2015 |
|
|
[109]
|
Helical Assemblies: Structure Determinants
|
|
Journal of Theoretical Biology,
2015 |
|
|
[110]
|
A novel k-word relative measure for sequence comparison
|
|
Computational biology and chemistry,
2014 |
|
|
[111]
|
Apolipoprotein E Gene Variants of Alzheimer's Disease and Vascular Dementia Patients in a Community Population of Nanking
|
|
Medicinal Chemistry,
2014 |
|
|
[112]
|
Research/Review: Insights into the Mutation-Induced Dysfunction of Arachidonic Acid Metabolism from Modeling of Human CYP2J2
|
|
Current drug metabolism,
2014 |
|
|
[113]
|
Research/Review: Structure and Linkage Disequilibrium Analysis of Adamantane Resistant Mutations in Influenza Virus M2 Proton Channel
|
|
Current drug metabolism,
2014 |
|
|
[114]
|
Trichoplaxin—A new membrane-active antimicrobial peptide from placozoan cDNA
|
|
Biochimica et Biophysica Acta (BBA)-Biomembranes,
2014 |
|
|
[115]
|
Similar Structures to the E-to-H Helix Unit in the Globin-Like Fold are Found in Other Helical Folds
|
|
Biomolecules,
2014 |
|
|
[116]
|
Prediction of Vanillin and Glutamate Productions in Yeast Using a Hybrid of Continuous Bees Algorithm and Flux Balance Analysis (CBAFBA)
|
|
Current Bioinformatics,
2014 |
|
|
[117]
|
An effective haplotype assembly algorithm based on hypergraph partitioning
|
|
Journal of Theoretical Biology,
2014 |
|
|
[118]
|
The similarity/dissimilarity analysis of protein sequence based on nucleotide triplet codon.
|
|
Journal of Chemical and Pharmaceutical Research,
2014 |
|
|
[119]
|
Characterization of a DNA exit gate in the human cohesin ring
|
|
Science,
2014 |
|
|
[120]
|
Review and Research Analysis of Computational Target Methods Using BioRuby and In silico Screening of Herbal Lead Compounds Against Pancreatic Cancer Using R Programming
|
|
Current drug metabolism,
2014 |
|
|
[121]
|
Molecular dynamics studies on the NMR and X-ray structures of rabbit prion proteins
|
|
Journal of theoretical biology,
2014 |
|
|
[122]
|
A QSPR-like model for multilocus genotype networks of< i> Fasciola hepatica in Northwest Spain
|
|
Journal of theoretical biology,
2014 |
|
|
[123]
|
iSS-PseDNC: Identifying Splicing Sites Using Pseudo Dinucleotide Composition
|
|
BioMed Research International,
2014 |
|
|
[124]
|
Combining evolutionary information extracted from frequency profiles with sequence-based kernels for protein remote homology detection
|
|
Bioinformatics,
2014 |
|
|
[125]
|
< i> k-Partite cliques of protein interactions: A novel subgraph topology for functional coherence analysis on PPI networks
|
|
Journal of theoretical biology,
2014 |
|
|
[126]
|
Graphic mapping of protein-coding DNA sequence in four-dimensional space and its application
|
|
Journal of Computational and Theoretical Nanoscience,
2014 |
|
|
[127]
|
A QSPR-like model for multilocus genotype networks of Fasciola hepatica in Northwest Spain
|
|
Journal of Theoretical Biology,
2014 |
|
|
[128]
|
k-Partite cliques of protein interactions: A novel subgraph topology for functional coherence analysis on PPI networks
|
|
Journal of Theoretical Biology,
2014 |
|
|
[129]
|
Review and research analysis of computational target methods using BioRuby and in silico screening of herbal lead compounds against pancreatic cancer using R …
|
|
Current Drug Metabolism,
2014 |
|
|
[130]
|
The similarity/dissimilarity analysis of protein sequence based on nucleotide triplet codon
|
|
Journal of Chemical and Pharmaceutical Research,
2014 |
|
|
[131]
|
A simple k-word interval method for phylogenetic analysis of DNA sequences
|
|
Journal of Theoretical Biology,
2013 |
|
|
[132]
|
Linear regression model of short k-word: a similarity distance suitable for biological sequences with various lengths
|
|
Journal of Theoretical Biology,
2013 |
|
|
[133]
|
Peptide Design by Nature‐Inspired Algorithms
|
|
De novo Molecular Design,
2013 |
|
|
[134]
|
Feature identification and reduction for improved generalization accuracy in secondary-structure prediction
|
|
2013 |
|
|
[135]
|
Grappling the high altitude for safe edible bamboo shoots with rich nutritional attributes and escaping cyanogenic toxicity
|
|
BioMed research international,
2013 |
|
|
[136]
|
Linear regression model of short< i> k-word: a similarity distance suitable for biological sequences with various lengths
|
|
Journal of theoretical biology,
2013 |
|
|
[137]
|
A graph spectrum based geometric biclustering algorithm
|
|
Journal of theoretical biology,
2013 |
|
|
[138]
|
A hybrid computational model for the effects of maspin on cancer cell dynamics
|
|
Journal of theoretical biology,
2013 |
|
|
[139]
|
Peptide Design by Nature-Inspired Algorithms
|
|
De novo Molecular Design,
2013 |
|
|
[140]
|
Editorial (hot topic: using cheminformatics for drug and target discovery in medicinal chemistry).
|
|
Current topics in medicinal chemistry,
2013 |
|
|
[141]
|
The pH-triggered conversion of the PrPC to PrPSc
|
|
Current topics in medicinal chemistry,
2013 |
|
|
[142]
|
iAMP-2L: a two-level multi-label classifier for identifying antimicrobial peptides and their functional types
|
|
Analytical biochemistry,
2013 |
|
|
[143]
|
Signal propagation in protein interaction network during colorectal cancer progression
|
|
BioMed research international ,
2013 |
|
|
[144]
|
Sequence and structure space model of protein divergence driven by point mutations
|
|
Journal of theoretical biology,
2013 |
|
|
[145]
|
Characterizing the Functional Similarity of Enzymes with High Co-Citation in Interaction Networks
|
|
Protein and peptide letters,
2013 |
|
|
[146]
|
A simple< i> k-word interval method for phylogenetic analysis of DNA sequences
|
|
Journal of theoretical biology,
2013 |
|
|
[147]
|
The protein–protein interaction network of the human Sirtuin family
|
|
Biochimica et Biophysica Acta (BBA)-Proteins and Proteomics, 1834,
2013 |
|
|
[148]
|
Nearly reversible conformational change of amyloid fibrils as revealed by pH-jump experiments
|
|
Biochemistry,
2013 |
|
|
[149]
|
Automatic seizure detection based on star graph topological indices
|
|
Journal of neuroscience methods,
2012 |
|
|
[150]
|
Identification of colorectal cancer related genes with mRMR and shortest path in protein-protein interaction network
|
|
PloS one,
2012 |
|
|
[151]
|
iNuc-PhysChem: a sequence-based predictor for identifying nucleosomes via physicochemical properties
|
|
PLoS One,
2012 |
|
|
[152]
|
Predicting anatomical therapeutic chemical (ATC) classification of drugs by integrating chemical-chemical interactions and similarities
|
|
PloS one,
2012 |
|
|
[153]
|
Na?ve Bayes QSDR classification based on spiral-graph Shannon entropies for protein biomarkers in human colon cancer
|
|
Molecular BioSystems,
2012 |
|
|
[154]
|
Predicting protein solubility by the general form of Chou's pseudo amino acid composition: approached from chaos game representation and fractal dimension
|
|
Protein and peptide letters,
2012 |
|
|
[155]
|
Prediction of human genes' regulatory functions based on proteinprotein interaction network
|
|
Protein and peptide letters,
2012 |
|
|
[156]
|
Protein-Protein Networks Construction and Their Relevance Measurement Based on Multi-Epitope-Ligand-Kartographie and Gene Ontology Data of T-Cell Surface Proteins for Polymyositis
|
|
Protein and peptide letters,
2012 |
|
|
[157]
|
Naïve Bayes QSDR classification based on spiral-graph Shannon entropies for protein biomarkers in human colon cancer
|
|
Molecular BioSystems,
2012 |
|
|
[158]
|
Protein-Protein Networks Construction and Their Relevance Measurement Based on Multi-Epitope-Ligand-Kartographie and Gene Ontology Data of T-Cell Surface …
|
|
Protein and Peptide Letters,
2012 |
|
|