26 min
Mohammed AlQuraishi on Machine Learning and Structural Biology Bio Catalyst
-
- Life Sciences
In this episode, I speak with Prof. Mohammed AlQuraishi. Mohammed is an Assistant Professor in the Department of Systems Biology at Columbia University. Mohammed gives us his unique thoughts and perspectives on a variety of problems that lie at the intersection of machine learning and structural biology.
(00:30) -- vision of Mohammed’s lab
(02:45) -- importance of abstractions to simulate a cell
(04:29) -- conceptual advances in abstractions
(06:03) -- protein folding
(07:28) -- end-to-end differentiability
(10:12) -- representations learned by protein structure deep learning models
(14:07) -- predicting higher energy states in conformational space
(15:46) -- is structure overrated?
(18:10) -- protein localization prediction
(20:37) -- pitfalls of having a programmatic view of a cell
(23:34) -- why individuals with quantitative backgrounds may find biology interesting
In this episode, I speak with Prof. Mohammed AlQuraishi. Mohammed is an Assistant Professor in the Department of Systems Biology at Columbia University. Mohammed gives us his unique thoughts and perspectives on a variety of problems that lie at the intersection of machine learning and structural biology.
(00:30) -- vision of Mohammed’s lab
(02:45) -- importance of abstractions to simulate a cell
(04:29) -- conceptual advances in abstractions
(06:03) -- protein folding
(07:28) -- end-to-end differentiability
(10:12) -- representations learned by protein structure deep learning models
(14:07) -- predicting higher energy states in conformational space
(15:46) -- is structure overrated?
(18:10) -- protein localization prediction
(20:37) -- pitfalls of having a programmatic view of a cell
(23:34) -- why individuals with quantitative backgrounds may find biology interesting
26 min