Reecan J. Juarez

ORCID: 0000-0003-3307-1617
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About
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Research Areas
  • Antimicrobial Peptides and Activities
  • Microbial Metabolic Engineering and Bioproduction
  • Protein Structure and Dynamics
  • Advanced Proteomics Techniques and Applications
  • Chemical Synthesis and Analysis
  • Nicotinic Acetylcholine Receptors Study
  • Bacterial Genetics and Biotechnology
  • vaccines and immunoinformatics approaches
  • Biofuel production and bioconversion
  • Traditional and Medicinal Uses of Annonaceae
  • Enzyme Structure and Function
  • Enzyme Catalysis and Immobilization
  • Antibiotic Resistance in Bacteria
  • Biochemical and Structural Characterization
  • Piperaceae Chemical and Biological Studies

Vanderbilt University
2022-2024

Hunter College
2020

City University of New York
2020

Lasso peptides are a subclass of ribosomally synthesized and post-translationally modified with slipknot conformation. With superior thermal stability, protease resistance, antimicrobial activity, lasso promising candidates for bioengineering pharmaceutical applications. To enable high-throughput computational prediction design peptides, we developed software, LassoHTP, automatic peptide structure construction modeling. LassoHTP consists three modules, including the scaffold constructor,...

10.1021/acs.jcim.2c00945 article EN Journal of Chemical Information and Modeling 2023-01-03

The development of new antimicrobial agents effective against Gram-negative bacteria remains a major challenge in drug discovery. lasso peptide cloacaenodin has potent activity multiple strains the Enterobacter genus, one ESKAPE pathogens. Here, we show that uses previously uncharacterized TonB-dependent transporter, which name CloU, to cross outer membrane (OM) susceptible bacteria. Inner transport is mediated by protein SbmA. CloU distinct from known OM transporters (FhuA and PupB)...

10.1021/acschembio.4c00009 article EN ACS Chemical Biology 2024-03-25

Molecular dynamics simulations have been extensively employed to reveal the roles of protein in mediating enzyme catalysis. However, simulation-derived predictive descriptors that inform impacts mutations on catalytic turnover numbers remain largely unexplored. In this work, we report identification molecular modeling-derived predict mutation effect number lactonase SsoPox with both native and non-native substrates. The study consists 10 enzyme-substrate complexes resulting from a...

10.1021/acs.jpcb.2c00142 article EN The Journal of Physical Chemistry B 2022-03-24

Protein engineering holds immense promise in shaping the future of biomedicine and biotechnology. This review focuses on our ongoing development Mutexa, a computational ecosystem designed to enable "intelligent protein engineering". In this vision, researchers can seamlessly acquire sequences variants with desired functions as biocatalysts, therapeutic peptides, diagnostic proteins by interacting machine, similar how we use Amazon Alexa these days. The technical foundation Mutexa has been...

10.26434/chemrxiv-2023-2cvbs preprint EN cc-by-nc 2023-06-08

Lasso peptides are a sub-class of ribosomally synthesized and post-translationally modified with slipknot conformation. Often superior thermal stability, protease resistance, antimicrobial activity, lasso promising candidates for bioengineering pharmseutical applications. To enable high-throughput computational prediction design peptides, we developed software, LassoHTP, automatic peptide structure construction modeling. LassoHTP consists three modules, including: scaffold constructor,...

10.26434/chemrxiv-2022-btvk9 preprint EN cc-by-nc-nd 2022-07-13
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