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In Silico Approaches to Predict DDIs

2009
This chapter will briefly describe in silico methodologies for the prediction of drug–drug interactions (DDIs) and highlight the broad application of computational tools to study DDIs. This chapter outlines the main methodologies currently applied including QSAR modeling, pharmacophore modeling, docking, and the combination of in silico and ...
Chad L. Stoner   +2 more
openaire   +1 more source

In Silico Tools for Predicting Novel Epitopes

Identifying antigens within a pathogen is a critical task to develop effective vaccines and diagnostic methods, as well as understanding the evolution and adaptation to host immune responses. Historically, antigenicity was studied with experiments that evaluate the immune response against selected fragments of pathogens.
Barra, Carolina   +11 more
openaire   +3 more sources

Insights on variant analysis in silico tools for pathogenicity prediction

Frontiers in Genetics, 2022
Felipe Antonio de Oliveira Garcia
exaly  

Cell-type-specific prediction of 3D chromatin organization enables high-throughput in silico genetic screening

Nature Biotechnology, 2023
Jimin Tan   +2 more
exaly  

A Recent Appraisal of Artificial Intelligence and In Silico ADMET Prediction in the Early Stages of Drug Discovery

Mini-Reviews in Medicinal Chemistry, 2021
Avinash kumar   +2 more
exaly  

In silico prediction of toxicity and its applications for chemicals at work

Toxicology and Environmental Health Sciences, 2020
Kyung-Taek Rim
exaly  

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