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Reverse fragment based drug discovery approach via simple estimation of fragment contributions

Nikita Nikolaevich Ivanov 1
Nikita Nikolaevich Ivanov
Vladimir Alexandrovich Palyulin 1
Vladimir Alexandrovich Palyulin
Published 2021-04-28
CommunicationVolume 31, Issue 3, 291-293
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Shulga D. A., Ivanov N. N., Palyulin V. A. Reverse fragment based drug discovery approach via simple estimation of fragment contributions // Mendeleev Communications. 2021. Vol. 31. No. 3. pp. 291-293.
GOST all authors (up to 50) Copy
Shulga D. A., Ivanov N. N., Palyulin V. A. Reverse fragment based drug discovery approach via simple estimation of fragment contributions // Mendeleev Communications. 2021. Vol. 31. No. 3. pp. 291-293.
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TY - JOUR
DO - 10.1016/j.mencom.2021.04.004
UR - https://mendcomm.colab.ws/publications/10.1016/j.mencom.2021.04.004
TI - Reverse fragment based drug discovery approach via simple estimation of fragment contributions
T2 - Mendeleev Communications
AU - Shulga, Dmitry Alexandrovich
AU - Ivanov, Nikita Nikolaevich
AU - Palyulin, Vladimir Alexandrovich
PY - 2021
DA - 2021/04/28
PB - Mendeleev Communications
SP - 291-293
IS - 3
VL - 31
ER -
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@article{2021_Shulga,
author = {Dmitry Alexandrovich Shulga and Nikita Nikolaevich Ivanov and Vladimir Alexandrovich Palyulin},
title = {Reverse fragment based drug discovery approach via simple estimation of fragment contributions},
journal = {Mendeleev Communications},
year = {2021},
volume = {31},
publisher = {Mendeleev Communications},
month = {Apr},
url = {https://mendcomm.colab.ws/publications/10.1016/j.mencom.2021.04.004},
number = {3},
pages = {291--293},
doi = {10.1016/j.mencom.2021.04.004}
}
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Shulga, Dmitry Alexandrovich, et al. “Reverse fragment based drug discovery approach via simple estimation of fragment contributions.” Mendeleev Communications, vol. 31, no. 3, Apr. 2021, pp. 291-293. https://mendcomm.colab.ws/publications/10.1016/j.mencom.2021.04.004.

Keywords

drug discovery
fragment based drug discovery
hit optimization
ligand efficiency
molecular modeling
scoring function

Abstract

Contributions of different fragments of a ligand into the binding/activity to a specified target are of importance to guide hit-to-lead drug discovery, and fragment based drug discovery (FBDD) approach has proven to be quite fruitful. However, the experimental means of FBDD are generally not affordable to many researchers working in the drug discovery field, especially to small medicinal chemistry groups at universities. To partially solve this problem, we propose a Reversed Fragment Based Drug Discovery (R-FBDD) approach in which the contributions of fragments of a molecule are estimated using scoring functions in order to detect whether a fragment is a ‘binding anchor’ or a ballast, thus guiding further development.

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