Author

Amir George

Rutgers, The State University of New Jersey

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 3 Biochemistry· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 4 Approach:experimental assay· 2 Approach:machine learning (classical)· 2 Organism:Arabidopsis· 1 Approach:deep learning· 1 Organism:E. coli· 1 Organism:human· 1 Assay:metabolomics· 1

Frequent Co-Authors

Joel S. FreundlichiD· 4 shared Alexandra Bozan· 2 shared Shivangi Shivangi· 2 shared Andrew M. Nelson· 1 shared Anna G. GreeniD· 1 shared Austin J. TerleckyiD· 1 shared Barry N. KreiswirthiD· 1 shared Bethiney C. VandborgiD· 1 shared

Activity by Year

2024-2025 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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4 shared papersMicrobiology

Joel S. FreundlichORCID

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Author profile →

4 papers

Recent·Most cited

The Quantification of Drug Accumulation within Gram-Negative Bacteria

Amir George, Shivangi, Alexandra Bozan, Kendra Spencer, Austin J. Terlecky, Yong‐Mo Ahn, Pamela R. Barnett, Barry N. Kreiswirth, Joel S. Freundlich

This paper presents a method to quantify intrabacterial drug accumulation and metabolism in Gram-negative bacteria using liquid chromatography-mass spectrometry, showing correlations with drug efficacy and synergy.

ACS Infectious Diseases · Dec 24, 2025Peer-reviewedMicrobiology

Identification of chemical features that influence mycomembrane permeation and antitubercular activity

Irene Lepori, Zichen Liu, Nelson Iyore Evbarunegbe, Shasha Feng, Turner P. Brown, Kishor Mane, Shivangi Shivangi, Mitchell Wong, Amir George, Taijie Guo, Jiajia Dong, Joel S. Freundlich, Wonpil Im, Anna G. Green, Marcos M. Pires, M. Sloan Siegrist

The paper identifies chemical features affecting mycomembrane permeation and antitubercular activity using a bioorthogonal assay and machine learning.

bioRxiv · Feb 27, 2025 · PreprintMicrobiology

Identification of Antituberculars with Favorable Potency and Pharmacokinetics through Structure-Based and Ligand-Based Modeling

Vedang Warapande, Fanwang Meng, Alexandra Bozan, David Graff, Jenna C. Fromer, Khadija Mughal, Faheem K. Mohideen, Shivangi Shivangi, Sindhuja Paruchuri, Melanie L. Johnston, Pankaj Sharma, Timothy R. Crea, Rudraraju Srilakshmi Reshma, Amir George, Camilla Folvar, , Joel S. Freundlich

The paper develops a hybrid modeling pipeline to identify antitubercular compounds with favorable potency and pharmacokinetics, resulting in 12 promising candidates from a large compound library.

bioRxiv · Feb 3, 2025 · PreprintMicrobiology

Identification of cysteine metabolism regulator (CymR)-derived pentapeptides as nanomolar inhibitors of Staphylococcus aureus O-acetyl-ʟ-serine sulfhydrylase (CysK)

Jordan L. Pederick, Bethiney C. Vandborg, Amir George, Hannah Bovermann, Jeffrey M. Boyd, Joel S. Freundlich, John B. Bruning

This paper identifies CymR-derived pentapeptides as nanomolar inhibitors of SaCysK, showing higher potency than CysE-derived peptides.

ACS Infectious Diseases · Dec 20, 2024Peer-reviewedBiochemistry