نهمین همایش بیوانفورماتیک ایران، اسفند ماه ۱۳۹۸

مقالات پذیرش شده در نهمین همایش بیوانفورماتیک ایران

• Investigation of Statistical Modeling of Allelic Frequencies

• Sequence and structure analysis of DNA polymerase KOD1: why KOD1 is thermophilic enzyme?

• Study on the effects of acetylation of lysine residue of insulin on their structural properties

• Temporal Convolutional Learning: A New Sequence analysis model to Improve the Performance of Deep Neural Networks in Smart Phone Based Human Activity Recognition

• Are white and purple flowers distinct species? -DNA answer

• Computational identification of miRNA in wheat (Triticum aestivum) by present miRNA sequences alignment

• Comparison of the coding sequences of cold-resistant genes expressed in plants

• Genome-Wide Association analysis some of diabetes related traits

• In silico analysis of superoxide dismutase sequences for industrial applications

• Comprehensive transcriptome analysis for Construction of transcriptional regulatory network of human colon cancer

• Identification of Drought Stress-responsive Genes in Rice by Comparative RNA-seqAnalysis

• Identification of Differentially Expressed Genes in PBMCs of Patients with Hepatocellular Carcinoma by Bioinformatics Analysis

• Suggestion a Mathematical Model of Immunotherapy of Superficial Bladder Cancer with Optimal Control Approach

• A Proposed Ensemble Classifier (EC) Machine Learning Algorithm for Evaluation of Plausible Drivers of Metastatic Breast Cancer

• Residual Network of Residual Network: A New Approach to Improve Deep Learning Based Segmentation of Left Ventricle in MRI Cardiac Image

• CSNet : A Novel Protein Complex- based Feature Selection Method in Clinical Proteomics

• Compositional bias in metagenomic data analysis

• Modeling of Breast Cancer Using Neural Network and Neuro-Fuzzy Network

• Peptide retention time prediction using LSTM artificial neural network architecture

• NNPS: A neural network based model for polypharmacy side effects prediction

• Bioinformatics Prediction of miRNAs Targeting E6 and E7 Oncogenes in Human Papillomavirus in Cervical Cancer

• Centrality analysis of protein-protein interaction networks reveals shared genes between type 1 diabetes and multiple sclerosis

• Differential DNA methylation and gene expression analyses of stage one Papillary Thyroid Carcinoma revealed potential biomarkers associated with cancer initiation

• An Order-independent Algorithm for Inferring Directed Gene Regulatory Networks from Incomplete Data

• Improvement of prediction of RNA's location in the cell by taking advantage of common neural network methods and architectures

• Analysis of the Gene GeneExpression Expression Profile Profile of Cardiac Cardiac Fibroblast Fibroblast Fibroblastand andEpicardialEpicardial Epicardial Epicardial -Derived Derived Stromal Stromal Cells (As the Origin of Cardiac Cardiac Fibroblast Fibroblast Fibroblastin Fibrotic Fibrotic Heart )

• Potential biomarkers of HCC based on miR-mRNA interaction by bioinformatics analysis

• The effect of negative data selection on predicting plant-pathogen interactions

• Computational Analysis of Host Gene Expression Profile in Response to SARS-CoV-2 Infection by Fuzzy Logic

• The Bioinformatics Analysis of Important Role of Diet in Differential Expression of ITGAV Gene and Colorectal Cancer Development

• Predicting Protein-protein Interaction between Bacteria and Phage Using Tree-based Methods

• Immunoinformatic analysis for designing peptide vaccine against avian infectious laryngotracheitis virus

• Data mining and association rules discovery in cancer patient characteristics

• شناسایی ایپتوپ های سلول های B و T پروتئین LIPO-A با هدف طراحی یک واکسن اپیتوپیک به منظور کنترل بیماری لیشمانیوز

• Computer Aided Drug Design: Every Drug Tells a Story…

• The Role of Computational Chemistry in Drug Design Based on Natural Products to Inhibit ABCG2 proteins in Cancer Cells

• Rational in silico drug design based on natural compounds to targeting DNA and DNA polymerase alongside with their complex

• Differential Expression microRNAs Analysis in Triple Negative Breast Cancer Samples Compared to Non-triple Negative Breast Cancer Samples: In silico analysis of Microarray Data

• In Silico Design of a Novel Multi Design of a Novel Multi -Epitope Peptide Vaccine Against Hepatocellular Carcinoma

• 3D-QSAR modeling, pharmacophore-based virtual screening, and assessment of ADMET properties for in silico identification of potential inhibitors of Toxoplasma gondii adenosine kinase

• Proteochemometric study of the pyrimidine-based scaffold derivatives as pjDHFR inhibitors

• Molecular Dynamics Simulations of ErbB2 Heterodimer; An Approach Towards Cancer Therapy

• Developing a tool to visualizing HSSP data

• Molecular modeling of Human Aurora C Kinase in complex with INCENP provides insight into its molecular interactions

• RRM1 and RRM2 of human dead end protein: which one does interact with p27 transcript?

• A Comparative Molecular Dynamics Simulation Study on The Unfolding of a Bacterial Albumin-Binding Domain

• پیش بینی ایمنوانفورماتیکی اپیتوپ های سلول های B و T آنتی ژن MIC13 به منظور مهندسی یک واکسن نوترکیب

• Designing novel teduglutide analogues with improved binding affinity: An in silico protein peptide approach

• Areview of recommender system methods for drug response prediction

• Theoretical evaluation of using Armchair carbon nanotubes for DNA sequencing by density functional theory

• Elucidating the Roles of lL-1Rll in the Regulation of Human Immune System

• Study the inhibitory effect of some plant origin flavonoids against targetable cancer receptors GRP78 by molecular docking

• Molecular Dynamics (MD) simulation of receptor-binding domain (RBD) of Coronaviruses

• Dimension Reduction of Amino Acid Indices with Principal Component Analysis

• Discovery of a new potential inhibitors of μ opioid receptor based on the pharmacophore modeling of the Thebaine using the virtual screening of data

• Novel Inhibitors for Allosteric Site 2 of SHP 2 Enzyme Based on Natural Organic Compounds: A Rational In Silico design

• Bayesian quantile regression for partially linear mixed-effects models in skew longitudinal data

• The effect of ibuprofen on p53 gene changes in zebrafish (Danio rerio)

• Study of the interaction between some flavonoids of plant origin with COVID-19 main protease by molecular docking method

• The effect of different amino acid substitution on signal peptide of SARS-COV-2 spike glycoprotein

• Identification of SARS-CoV-2 3CL protease and PL protease inhibitory effects among natural compounds: Structure-based virtual screening based on molecular docking and MM-GBSA studies

• Molecular docking and ADMET properties of natural products against the Cathepsin D, in breast cancer

• An Integrated Functional Analysis of Multiple RNA-Sequencing and Microarray Studies: Understanding of Comprehensive Molecular Changes in Muscular Dystrophieswith Limb-Girdle Pattern of Weakness

• A Novel Random Forest-Based Model to Predicting Anticancer Peptides

• Mining functional modules: Form Ensemble-based Community Detection to Integrating Interprotein Networks

• Bioinformatic prediction and introducing of some targeting MicroRNAs of STAT3 and HMOX1 genes associated with growth and development in beef cattle

• identification of potential genes based on the results on the interaction between bta-miR- 375 and target genes in dairy cattle

• Phylo- informatic study of bor gene in an Escherichia coli Strain c1378 (O78:K80) Isolated from an Avian Colibacillosis Case in Tehran

• Vaccino- informatics study of the Bovine Coronavirus (BCV) in Iranian diarrheatic calves by Centralized sequence (CS) methods

• PhiDsc: Protein Hotspot Identification by 3D Structure Comparison