2023 AIChE Annual Meeting

Session: Machine Learning Based Protein Engineering

Co-Chairs

Daniel Woldring, Michigan State University
Lawrence Stern, University of South Florida

Presentations

03:30 PM

(575a) AI-Guided Redesign of Protein Pores to Facilitate Critical Materials from Electronic/ Battery Waste
Bibek Acharya, Ratul Chowdhury, Karuna A. Sajeevan, Julia Young

03:48 PM

(575b) Meta-Analysis of MHC Class I Peptide Binding Interactions Using SVM Models
Sumaiya Islam, Hyeju Song, Christopher Kieslich

04:06 PM

(575c) Machine Learning-Based Meta-Analysis of the Association between HLA-Peptide Binding Interactions and HLA-Linked Disease Susceptibility
Christopher Kieslich, Atefe Alimirzaei, Hyeju Song, Sumaiya Islam

04:42 PM

(575e) Predicting the Substrate Specificity and Regioselectivity of Halogenases Using Deep Learning
Haiyang Cui, Yufeng Su, Tanner James Dean, Diwakar Shukla, Huimin Zhao

05:00 PM

(575f) Protein Structure Guided Machine Learning Models for Enzyme Kinetic Parameter Prediction
Costas D. Maranas, Veda Sheersh Boorla

05:18 PM

(575g) Invited Talk: Machine Learning-Guided Directed Evolution of Functional Proteins
Andrew Ferguson