Protein folding Definition and 13 Threads

Hello, I am currently working on an idea for a possible future masters or PhD in cellular biology, however my idea is currently just a passion project. For it to work, I would need to learn how to predict and make a specific protein to do a specific function, in this instance I need to use it to...

I have been reading about protein thermodynamics and found different types and models for entropy calculation before and after protein folding. I understand Vibrational, conformational, configurational entropy are some of the most studied "types" of protein folding entropy. My questions is...

I am a student and researcher interested in the mind, brain, related biological processes and emerging "mental" processes. I am interested in cognitive computational models, implementing new computational paradigms.

This is cool - AI is the future of biology, humans just arent smart enough https://deepmind.com/research/case-studies/alphafold https://predictioncenter.org/casp14/doc/presentations/2020_12_01_TS_predictor_AlphaFold2.pdf Deepmind trained on 100K proteins and is now in the second iteration of...

Google’s deep-learning program for determining the 3D shapes of proteins stands to transform biology, say scientists...

I'm looking to understand how protein folding has been shown to be NP-complete, but from the computational side rather than the biological side (if this is possible). Is there an analogous NP-complete problem that is similar? I read that self avoiding random walks might have something to do with...

Our text says that ionic bonds are much weaker in aqueous solutions than covalent bonds, due to the dissociative properties of most ionic compounds in water. I read elsewhere though, that in general, ionic bonds are stronger due to the increased polarity. So, in protein folding, when different...

As a non-biologist, I'm curious: What are some things that current research on protein folding is focusing on? What are some current challenges that researchers are facing? I understand that the protein folding problem is a very important problem in the field of biophysics. Any experts on here?

These days, it seems that we all rely on trial and error in order to predict the biochemical reactions of new drugs (say, we want a drug to be a ligand, but we have to rely on trial and error to predict whether or not it will actually fit - plus - we also need trial and error to determine the...

In string theory, a solution involving flat 10D space seems like a valid solution. The Universe could be described by a solution that is 10D space, all large and flat. Of course for string theory to describe our universe, 3D remain large and flat, and 6D or 7D are curled up in a Yau Calibi...

My textbook’s explanation for spontaneous renaturation of defolded protein is this: “Although in defolded state protein has grater entropy, greater degree of disorder, it folds into original conformation (lower entropy), and this seems to be in collision with the II law of thermodynamics. But...

My textbook’s explanation for spontaneous renaturation of defolded protein is this: “Although in defolded state protein has grater entropy, greater degree of disorder, it folds into original conformation (lower entropy), and this seems to be in collision with the II law of thermodynamics. But...

The following is the abstract to an article by Joan Emma Shea et al published in journal of chemical physics volume 113 number 17, 1 nov 2000 "The amino acid sequence and the folding motif are essential in determining the protein folding mechanism. The interplay between energetic...