Proteins are typically expected to have one biologically relevant fold. Our latest work published in @NatureComms shows that evolution selects for proteins with two folds:

Very excited to have you!

@ai4s_protenix @COSB_CRSB We make some suggestions in the final section.

@sciqst @COSB_CRSB Hi Raffaele. Yes, the Review discusses 3 of those areas and suggests avenues of research that may address them in the future.

RT @tiwarylab: Thrilled to share "Thermodynamic Maps", just out in @PNASNews ! Paper: Code (incl colab): https://…

@CterminiPhD Congrats on making it this far. They’re evaluating research productivity and mentorship. Present your work as a cohesive story and mention your publication plans for the projects you present, also who in your lab is doing them. If you write a report, give more detail there.

@kamerlinlab Sorry for your loss.

@gonenlab Great meeting. Thanks for organizing.

@amelie_iska @dr_alphalyrae Where's the metamorphic design paper?

@FrankNoeBerlin @amelie_iska @DdelAlamo Our paper is not meant to criticize CFold: it's great! It enabled us to do this test I've been wanting to do for years. Fold switchers are hard to predict, and our dataset is fair. Diego is right. CFold predicts the complexed form of RfaH, not its apo monomeric fold.

For anyone interested in hearing about Xingyue’s and my lab’s latest work…

@kamerlinlab Get well soon!

@AlexGuseman I second @ProfessorAntony. I like Infors better than anything else I've used ( incl. innova and eppendorf).

Thank you, @ProteinSociety, for a wonderful meeting. When I normally attend a conference, I’m happy if I deeply engage during 3 talks. Here, it was more like 12.

@partchlab @HHMINEWS Wonderful news. Congratulations, and well-deserved.

RT @KortemmeLab: We’re thrilled to share our new pre-print exploring how we can design and control dynamic proteins! (1/6)

@JasonWilliamsNY You're at NIH? Want to meet up?

For anyone interested in my lab's latest work on fold-switching proteins, tune into this series tomorrow:

For anyone interested in a popular science take on the use of AI in protein structure prediction, complete with coverage of fold switching and insights from @MoAlQuraishi, @LindorffLarsen, Janet Thornton, John Moult, George Rose, and others:

@MinyiShen And sometimes it overwrites the contacts it detects with structures memorized during training. We'll post more on that soon.