2024 AIChE Annual Meeting

Session: Machine Learning Based Protein Engineering

Co-Chairs

Tamamis, P., Texas A&M University

Presentations

03:30 PM

(594a) Invited Talk: Reframing of Protein Engineering in Light of Recent ML Advances

04:28 PM

(594c) Explainable Support Vector Machine Models for Analyzing Structure-Function Relationships of Membrane-Active Peptides

04:46 PM

(594d) Enzrank-2.0: A Deep Learning Tool for Selection and Re-Design of Enzymes for Novel Substrates

05:04 PM

(594e) Integrative Machine Learning Analysis of HLA-Peptide Binding and Disease Association across HLA Class I and Class II Molecules

05:22 PM

(594f) Enhancing Compound-Protein Interaction Prediction with Confidence Assessment

05:40 PM

(594g) Autonomous Protein Engineering through Robotics, Machine Learning, and Large Language Model