| Autor: |
Brown, Benjamin P., Vu, Oanh, Geanes, Alexander R., Kothiwale, Sandeepkumar, Butkiewicz, Mariusz, Lowe Jr., Edward W., Mueller, Ralf, Pape, Richard, Mendenhall, Jeffrey, Meiler, Jens |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Druh dokumentu: |
Článek |
| ISSN: |
1663-9812 |
| Popis: |
The BioChemical Library (BCL) cheminformatics toolkit is an application-based academic open-source software package designed to integrate traditional small molecule cheminformatics tools with machine learning-based quantitative structure-activity/ property relationship (QSAR/QSPR) modeling. In this pedagogical article we provide a detailed introduction to core BCL cheminformatics functionality, showing how traditional tasks (e.g., computing chemical properties, estimating druglikeness) can be readily combined with machine learning. In addition, we have included multiple examples covering areas of advanced use, such as reaction-based library design. We anticipate that this manuscript will be a valuable resource for researchers in computer-aided drug discovery looking to integrate modular cheminformatics and machine learning tools into their pipelines. |
| Databáze: |
Networked Digital Library of Theses & Dissertations |
| Externí odkaz: |
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