Austin J. Jarrett

ORCID: 0000-0001-8522-0309
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About
Contact & Profiles
Research Areas
  • Protein Structure and Dynamics
  • RNA and protein synthesis mechanisms
  • Genomics and Chromatin Dynamics
  • Health and Medical Research Impacts
  • Pancreatic function and diabetes
  • CRISPR and Genetic Engineering
  • Mentoring and Academic Development
  • Scientific Computing and Data Management
  • Doctoral Education Challenges and Solutions
  • Bacterial Genetics and Biotechnology
  • Enzyme Catalysis and Immobilization
  • Computational Drug Discovery Methods
  • Biomedical Text Mining and Ontologies
  • Machine Learning in Bioinformatics
  • Cell Image Analysis Techniques

Brigham Young University
2021-2024

The CACHE challenges are a series of prospective benchmarking exercises to evaluate progress in the field computational hit-finding. Here we report results inaugural challenge which 23 teams each selected up 100 commercially available compounds that they predicted would bind WDR domain Parkinson's disease target LRRK2, with no known ligand and only an apo structure PDB. lack binding data presumably low druggability is hit finding methods. Of 1955 molecules by participants Round 1 challenge,...

10.1021/acs.jcim.4c01267 article EN Journal of Chemical Information and Modeling 2024-11-05

ABSTRACT The CACHE challenges are a series of prospective benchmarking exercises meant to evaluate progress in the field computational hit-finding. Here we report results inaugural #1 challenge which 23 teams each selected up 100 commercially available compounds that they predicted would bind WDR domain Parkinson’s disease target LRRK2, with no known ligand and only an apo structure PDB. lack binding data presumably low druggability is hit finding methods. Seventy-three 1955 procured...

10.1101/2024.07.18.603797 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2024-07-18

Computational enzyme design has made great strides over the last five years. Traditional methods of require synthesis and evaluation many mutations. emerged as a powerful tool to predict how specific mutations modify protein’s activity, stability, and/or selectivity. Such computational approaches can evaluate reduce load in vitro work by identifying likely accomplish objectives. explore mutational spaces inaccessible traditional mutagenesis. cost time compared with experimental approaches....

10.1142/s0217984921501554 article EN Modern Physics Letters B 2021-02-12

Effective mentoring of undergraduate students is a growing requirement for the promotion faculty at many universities. It often challenging young investigators to define successful strategy, partially due absence broadly accepted definition what should entail. To overcome this, an outcome-oriented framework was developed and used with more than 25 over three years. found that systematic approach can help quickly realize their scientific potential result in meaningful contributions science....

10.1107/s2059798322005861 article EN cc-by Acta Crystallographica Section D Structural Biology 2022-07-14
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