Anastasia V. Rudik

Orcid: 0000-0002-8916-9675

According to our database1, Anastasia V. Rudik authored at least 15 papers between 2004 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Online presence:

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Bibliography

2023
HGMMX: Host Gut Microbiota Metabolism Xenobiotics Database.
J. Chem. Inf. Model., November, 2023

2022
Chemical named entity recognition in the texts of scientific publications using the naïve Bayes classifier approach.
J. Cheminformatics, 2022

2021
Extraction of Data on Parent Compounds and Their Metabolites from Texts of Scientific Abstracts.
J. Chem. Inf. Model., 2021

2020
AntiHIV-Pred: web-resource for in silico prediction of anti-HIV/AIDS activity.
Bioinform., 2020

2019
AntiBac-Pred: A Web Application for Predicting Antibacterial Activity of Chemical Compounds.
J. Chem. Inf. Model., 2019

Metatox - Web application for generation of metabolic pathways and toxicity estimation.
J. Bioinform. Comput. Biol., 2019

2018
ADVERPred-Web Service for Prediction of Adverse Effects of Drugs.
J. Chem. Inf. Model., 2018

Molecular property diagnostic suite for diabetes mellitus (MPDS<sup>DM</sup>): An integrated web portal for drug discovery and drug repurposing.
J. Biomed. Informatics, 2018

ROSC-Pred: web-service for rodent organ-specific carcinogenicity prediction.
Bioinform., 2018

2017
MetaTox: Web Application for Predicting Structure and Toxicity of Xenobiotics' Metabolites.
J. Chem. Inf. Model., 2017

2016
Prediction of reacting atoms for the major biotransformation reactions of organic xenobiotics.
J. Cheminformatics, 2016

2015
SOMP: web server for <i>in silico</i> prediction of sites of metabolism for drug-like compounds.
Bioinform., 2015

2014
Metabolism Site Prediction Based on Xenobiotic Structural Formulas and PASS Prediction Algorithm.
J. Chem. Inf. Model., 2014

2013
DIGEP-Pred: web service for <i>in silico</i> prediction of drug-induced gene expression profiles based on structural formula.
Bioinform., 2013

2004
A New Statistical Approach to Predicting Aromatic Hydroxylation Sites. Comparison with Model-Based Approaches.
J. Chem. Inf. Model., 2004


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