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QSAR - Searching for a relationship between a compound’s structure and its biological aktivity. Advances in Chemical Biology

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378050%3A_____%2F19%3A00503195" target="_blank" >RIV/68378050:_____/19:00503195 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    QSAR - Searching for a relationship between a compound’s structure and its biological aktivity. Advances in Chemical Biology

  • Original language description

    Quantitative structure-activity relationship (QSAR) modeling is one of the most popular techniques of virtual screening able to predict the biological activity of small-molecular compounds. Using QSAR classification models, a compound can be labeled as active or inactive on a target, while regression models try to determine its exact activity value. In order to reveal the structure-activity relationships, almost any combination of common machine learning methods (e.g., Support Vector Machines, Random Forest, Neural Networks etc.) with various types of structure descriptors (e.g., physicochemical properties, structural keys, binary fingerprints, etc.) can be utilized. QSAR models are generally fast and are considered as reliable, providing that a correct approach to their validation and an application domain assessment are employed. Nowadays, the techniques of QSAR modeling represent a common part of computational drug design workflows used to detect new biologically active compounds, elucidate their side effects, or assess their potential toxicity risks.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/LO1220" target="_blank" >LO1220: CZ-OPENSCREEN: National infrastructure for chemical biology</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Book/collection name

    Advances in Chemical Biology

  • ISBN

    978-80-88011-03-3

  • Number of pages of the result

    9

  • Pages from-to

    187-196

  • Number of pages of the book

    210

  • Publisher name

    OPTIO CZ

  • Place of publication

    Praha

  • UT code for WoS chapter