Fast Neural Network Engine for Natural Science Language Processing: A Drug-Search Case.

Vadim V. Korolev; Artem Mitrofanov; Kirill Karpov; Valery Tkachenko

doi:10.26434/chemrxiv.12800348.v1

Theoretical and Computational Chemistry

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Fast Neural Network Engine for Natural Science Language Processing: A Drug-Search Case.

25 August 2020, Version 1

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Abstract

The main advantage of modern natural language processing methods is a possibility to turn an amorphous human-readable task into a strict mathematic form. That allows to extract chemical data and insights from articles and to find new semantic relations. We propose a universal engine for processing chemical and biological texts. We successfully tested it on various use-cases and applied to a case of searching a therapeutic agent for a COVID-19 disease by analyzing PubMed archive.

Keywords

nataral language processing

drug design

covid-19

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