CatPred: A comprehensive framework for deep learning in vitro enzyme kinetic parameters KCAT, KM and KI

Authors

• Costas D Maranas, The Pennsylvania State University, USA
• Veda Sheersh Boorla, Department of Chemical Engineering, The Pennsylvania State University, USAFollow

Conference Dates

July 21 - 25, 2024

Abstract

Please click Additional Files below to see the full abstract.

Recommended Citation

Costas D Maranas and Veda Sheersh Boorla, "CatPred: A comprehensive framework for deep learning in vitro enzyme kinetic parameters KCAT, KM and KI" in "Biochemical and Molecular Engineering XXIII: Accelerating Biotech Solutions to aid a Changing World", Michelle O’Malley, University of California at Santa Barbara, USA; Brian Pfleger, University of Wisconsin, USA; Varnika Roy, GSK, USA Eds, ECI Symposium Series, (2024). https://dc.engconfintl.org/biochem_xxiii/99