Combining empirical knowledge, in silico molecular docking and ADMET profiling to identify therapeutic phytochemicals from Brucea antidysentrica for acute myeloid leukemia

Authors

Lemessa Etana Bultum, Korea Advanced Institute of Science and Technology
Gemechu Bekele Tolossa, Washington University School of Medicine in St. Louis
Doheon Lee, Korea Advanced Institute of Science and Technology

Journal

PLoS One

Publication Date

1-1-2022

Volume

17

Issue

7

First Page

e0270050

Document Type

Open Access Publication

DOI

10.1371/journal.pone.0270050

Rights and Permissions

Bultum LE, Tolossa GB, Lee D (2022) Combining empirical knowledge, in silico molecular docking and ADMET profiling to identify therapeutic phytochemicals from Brucea antidysentrica for acute myeloid leukemia. PLOS ONE 17(7): e0270050. https://doi.org/10.1371/journal.pone.0270050. © 2022 Bultum et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Recommended Citation

Bultum, Lemessa Etana; Tolossa, Gemechu Bekele; and Lee, Doheon, "Combining empirical knowledge, in silico molecular docking and ADMET profiling to identify therapeutic phytochemicals from Brucea antidysentrica for acute myeloid leukemia." PLoS One. 17, 7. e0270050 (2022).
https://digitalcommons.wustl.edu/oa_4/100