5 papers
SwitchCraft: A Programmatic Framework for Designing State-Switching Proteins
Bowen Jing, Mihir Bafna, Anisha Parsan +5
Multistate mechanisms underlie many of the complex functions observed in natural proteins. The ability to rationally design multistate proteins would have transformative implicatio…
Learning residue level protein dynamics with multiscale Gaussians
Mihir Bafna, Bowen Jing, Bonnie Berger
Many methods have been developed to predict static protein structures, however understanding the dynamics of protein structure is essential for elucidating biological function. Whi…
StyleDrive: Towards Driving-Style Aware Benchmarking of End-To-End Autonomous Driving
Ruiyang Hao, Bowen Jing, Haibao Yu +1
Personalization, while extensively studied in conventional autonomous driving pipelines, has been largely overlooked in the context of end-to-end autonomous driving (E2EAD), despit…
AI-based Methods for Simulating, Sampling, and Predicting Protein Ensembles
Bowen Jing, Bonnie Berger, Tommi Jaakkola
Advances in deep learning have opened an era of abundant and accurate predicted protein structures; however, similar progress in protein ensembles has remained elusive. This review…
Transformer Enhanced Relation Classification: A Comparative Analysis of Contextuality, Data Efficiency and Sequence Complexity
Bowen Jing, Yang Cui, Tianpeng Huang
In the era of large language model, relation extraction (RE) plays an important role in information extraction through the transformation of unstructured raw text into structured d…