Author

B. Tam

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

Biology Disciplines

Click to filter author papers

Biochemistry· 2 Microbiology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:bacteria (other)· 3 Research Focus:drug response / drug discovery· 3 Approach:experimental assay· 2 Approach:machine learning (classical)· 1

Frequent Co-Authors

B. Akabayov· 3 shared D. Sherf· 2 shared M. Singh· 2 shared S. Ilic· 2 shared A. Soffer· 1 shared D. Pappo· 1 shared D. Vilenchik· 1 shared G. Wagner· 1 shared

Activity by Year

2019-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersBiochemistry

B. Akabayov

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Cell-penetrating peptide conjugates of indole-3-acetic acid-based DNA primase/Gyrase inhibitors as potent antitubercular agents against planktonic and biofilm culture of Mycobacterium smegmatis

R. P. Dewangan, M. Singh, S. Ilic, B. Tam, B. Akabayov

bioRxiv · Dec 1, 2020Microbiology

Dual acting small-Molecule inhibitors targeting Mycobacterial DNA replication

M. Singh, S. Ilic, B. Tam, Y. Ben-Ishay, D. Sherf, D. Pappo, B. Akabayov

This study develops dual-acting small-molecule inhibitors targeting Mtb DNA replication enzymes DnaG primase and DNA gyrase, with improved physicochemical properties and inhibitory effects.

bioRxiv · Jun 3, 2020Biochemistry

Discovery of small-molecule inhibitors targeting the ribosomal peptidyl transferase center (PTC) of M. tuberculosis

B. Tam, D. Sherf, S. Cohen, S. A. Eisdorfer, M. Perez, A. Soffer, D. Vilenchik, S. R. Akabayov, G. Wagner, B. Akabayov

The paper identifies small-molecule inhibitors targeting the ribosomal peptidyl transferase center of M. tuberculosis using NMR and machine learning, showing improved potency over standard antibiotics.

bioRxiv · Aug 11, 2019Biochemistry