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Nelson Evbarunegbe on Muck Rack

Nelson Evbarunegbe

As seen in: Nature, BioRxiv
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Articles

Identification of chemical features for improved outer membrane permeation in mycobacteria using machine learning

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By Irene Lepori, Zichen Liu, Nelson Evbarunegbe, Shasha Feng, Turner P. Brown, Kishor Mane, Rachita Dash, Mitchell Wong, Amir George, Taijie Guo, Anil M. Shelke, K. Barry Sharpless, Jiajia Dong, Joel S. Freundlich, Wonpil Im, Anna Green, Marcos M. Pires, M. Siegrist, Ananya Naick
| Nature Verified
Abstract The ability of compounds to permeate and accumulate in bacterial cells is a critical determinant of antibiotic efficacy. Better therapeutics are urgently needed for the human pathogen Mycobacterium tuberculosis, yet the cell envelope, including the mycobacterial outer membrane, represents a significant barrier for drug entry, and the chemical features governing permeation remain poorly understood.
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MycoPermeNet-v2: Improved Prediction of Mycomembrane Permeation Using Fusion Noisy Student Self-Distillation

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By Nelson Evbarunegbe, Shiyun Wa, Isha Karn
| dx.doi.org
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Identification of chemical features that influence mycomembrane permeation and antitubercular activity

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By Irene Lepori, Zichen Liu, Shasha Feng, Nelson Evbarunegbe
| BioRxiv
Abstract Tuberculosis (TB), caused by Mycobacterium tuberculosis (Mtb), is the deadliest single-agent infection worldwide. Current antibiotic treatment for TB takes a minimum of four months, underscoring the need for better therapeutics. The unique mycobacterial cell envelope, particularly the outermost mycomembrane, has long been thought to promote intrinsic antibiotic resistance by limiting compound entry into Mtb.
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