Chroma Yang asks how we can make something more efficient LigandMPNN Discussion of structure prediction models Derivates of COMBS Parameterized Someone finishes within the time limit Someone goes over the time limit “Isn’t that neat” - Bill Jablonski diagram Energetic penalty of Leu to Ala “Freaking cool” -Jo Fluorescence polarization Cake Protein folding Someone uploads slides after 9:15 AM Impromptu performances Binding affinity Machine learning First principles High- throughput Dynamic vs static New- to- nature Circular dichroism Equilibrium Biking Technical difficulties Chroma Yang asks how we can make something more efficient LigandMPNN Discussion of structure prediction models Derivates of COMBS Parameterized Someone finishes within the time limit Someone goes over the time limit “Isn’t that neat” - Bill Jablonski diagram Energetic penalty of Leu to Ala “Freaking cool” -Jo Fluorescence polarization Cake Protein folding Someone uploads slides after 9:15 AM Impromptu performances Binding affinity Machine learning First principles High- throughput Dynamic vs static New- to- nature Circular dichroism Equilibrium Biking Technical difficulties
(Print)
Chroma
Yang asks how we can make something more efficient
LigandMPNN
Discussion of structure prediction models
Derivates of COMBS
Parameterized
Someone finishes within the time limit
Someone goes over the time limit
“Isn’t that neat” -Bill
Jablonski diagram
Energetic penalty of Leu to Ala
“Freaking cool” -Jo
Fluorescence polarization
Cake
Protein folding
Someone uploads slides after 9:15 AM
Impromptu performances
Binding affinity
Machine learning
First principles
High-throughput
Dynamic vs static
New-to-nature
Circular dichroism
Equilibrium
Biking
Technical difficulties
