Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Shrishti Barethiya

Showing results (1-10 of 7) with videos related to

Pageof 1
Sort By:
Biorxiv : the Preprint Server for Biology|July 3, 2026
HyRes: Accurate Physics-Based Simulation of Dynamic Protein Structures and Interactions in Complex Environments at ScaleShanlong Li, Shrishti Barethiya, Jianhan Chen
Biochemistry|March 18, 2025
Coarse-Grained Simulations of Phosphorylation Regulation of p53 AutoinhibitionShrishti Barethiya, Samantha Schultz, Yumeng Zhang, et al.
Molecules (Basel, Switzerland)|May 27, 2023
Machine Learning Generation of Dynamic Protein Conformational EnsemblesLi-E Zheng, Shrishti Barethiya, Erik Nordquist, et al.
Biorxiv : the Preprint Server for Biology|November 26, 2025
Overcoming Extrapolation Challenges of Deep Learning by Incorporating Physics in Protein Sequence-Function ModelingShrishti Barethiya, Jian Huang, Xiao Liu, et al.
Plos Computational Biology|March 25, 2026
Overcoming extrapolation challenges of deep learning by incorporating physics in protein sequence-function modelingShrishti Barethiya, Jian Huang, Clarice Stumpf, et al.
Biorxiv : the Preprint Server for Biology|July 10, 2023
Incorporating physics to overcome data scarcity in predictive modeling of protein function: a case study of BK channelsErik Nordquist, Guohui Zhang, Shrishti Barethiya, et al.
Plos Computational Biology|September 15, 2023
Incorporating physics to overcome data scarcity in predictive modeling of protein function: A case study of BK channelsErik Nordquist, Guohui Zhang, Shrishti Barethiya, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Biorxiv : the Preprint Server for Biology|July 3, 2026
HyRes: Accurate Physics-Based Simulation of Dynamic Protein Structures and Interactions in Complex Environments at ScaleShanlong Li, Shrishti Barethiya, Jianhan Chen
Biochemistry|March 18, 2025
Coarse-Grained Simulations of Phosphorylation Regulation of p53 AutoinhibitionShrishti Barethiya, Samantha Schultz, Yumeng Zhang, et al.
Molecules (Basel, Switzerland)|May 27, 2023
Machine Learning Generation of Dynamic Protein Conformational EnsemblesLi-E Zheng, Shrishti Barethiya, Erik Nordquist, et al.
Biorxiv : the Preprint Server for Biology|November 26, 2025
Overcoming Extrapolation Challenges of Deep Learning by Incorporating Physics in Protein Sequence-Function ModelingShrishti Barethiya, Jian Huang, Xiao Liu, et al.
Plos Computational Biology|March 25, 2026
Overcoming extrapolation challenges of deep learning by incorporating physics in protein sequence-function modelingShrishti Barethiya, Jian Huang, Clarice Stumpf, et al.
Biorxiv : the Preprint Server for Biology|July 10, 2023
Incorporating physics to overcome data scarcity in predictive modeling of protein function: a case study of BK channelsErik Nordquist, Guohui Zhang, Shrishti Barethiya, et al.
Plos Computational Biology|September 15, 2023
Incorporating physics to overcome data scarcity in predictive modeling of protein function: A case study of BK channelsErik Nordquist, Guohui Zhang, Shrishti Barethiya, et al.
Pageof 1