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Discovery of novel InhA inhibitors through structural bioinformatics and machine learning-driven QSAR screening of natural products

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Published in:Biology Methods and Protocols
Format: Online Article RSS Article
Published: 2026
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container_title Biology Methods and Protocols
description
discipline_display Biology
discipline_facet Biology
format Online Article
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genre Journal Article
id rss_article:81599
institution FRELIP
journal_source_facet Biology Methods and Protocols
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Discovery of novel InhA inhibitors through structural bioinformatics and machine learning-driven QSAR screening of natural products
Biology
General
Biology
sub_discipline_display General
sub_discipline_facet General
subject_display Biology
General
Biology
Biology
General
Biology
subject_facet Biology
General
Biology
title Discovery of novel InhA inhibitors through structural bioinformatics and machine learning-driven QSAR screening of natural products
title_auth Discovery of novel InhA inhibitors through structural bioinformatics and machine learning-driven QSAR screening of natural products
title_full Discovery of novel InhA inhibitors through structural bioinformatics and machine learning-driven QSAR screening of natural products
title_fullStr Discovery of novel InhA inhibitors through structural bioinformatics and machine learning-driven QSAR screening of natural products
title_full_unstemmed Discovery of novel InhA inhibitors through structural bioinformatics and machine learning-driven QSAR screening of natural products
title_short Discovery of novel InhA inhibitors through structural bioinformatics and machine learning-driven QSAR screening of natural products
title_sort discovery of novel inha inhibitors through structural bioinformatics and machine learning-driven qsar screening of natural products
topic Biology
General
Biology
url https://academic.oup.com/biomethods/article/doi/10.1093/biomethods/bpag015/8561080?rss=1