Slides for the 2022-2023 editions of the Integrated Structural Biology workshop at SciLifeLab.The topic of these lectures is an overview of the protein structure prediction problem from the '70s until the release of modern neural network-based systems such as AlphaFold and the latest developments, especially within the BeyondFold Technical Development Project at SciLifeLab.</p
Despite recent efforts to develop automated pro-tein structure determination protocols, structural g...
Proteins play a crucial roll in all biological processes. The wide range of protein functions is mad...
International audienceThe last few years mark dramatic improvements in modeling of protein structure...
AbstractA recent meeting to evaluate the state of the art of protein structure prediction saw progre...
AlphaFold2 is a machine-learning algorithm for protein structure prediction that has now been used t...
International audienceIn 2021, the release of AlphaFold2-the DeepMind's machine-learning protein str...
For decades, scientists have struggled to predict the ways in which the many proteins in the human b...
International audienceThe potential of deep learning has been recognized in structural bioinformatic...
Despite recent efforts to develop automated protein structure determination protocols, structural ge...
Proteins are the essential agents of all living systems. Even though they are synthesized as linear ...
If protein structure prediction methods are to make any impact on the impending onerous task of anal...
This conference was held December 4--8, 1994 in Asilomar, California. The purpose of this meeting wa...
Computational tools for protein structure prediction are of great interest to molecular, structural ...
This biochemistry lecture addresses the fundamentals of alpha helical structure. The secondary struc...
Computational tools for protein structure prediction are of great interest to molecular, structural ...
Despite recent efforts to develop automated pro-tein structure determination protocols, structural g...
Proteins play a crucial roll in all biological processes. The wide range of protein functions is mad...
International audienceThe last few years mark dramatic improvements in modeling of protein structure...
AbstractA recent meeting to evaluate the state of the art of protein structure prediction saw progre...
AlphaFold2 is a machine-learning algorithm for protein structure prediction that has now been used t...
International audienceIn 2021, the release of AlphaFold2-the DeepMind's machine-learning protein str...
For decades, scientists have struggled to predict the ways in which the many proteins in the human b...
International audienceThe potential of deep learning has been recognized in structural bioinformatic...
Despite recent efforts to develop automated protein structure determination protocols, structural ge...
Proteins are the essential agents of all living systems. Even though they are synthesized as linear ...
If protein structure prediction methods are to make any impact on the impending onerous task of anal...
This conference was held December 4--8, 1994 in Asilomar, California. The purpose of this meeting wa...
Computational tools for protein structure prediction are of great interest to molecular, structural ...
This biochemistry lecture addresses the fundamentals of alpha helical structure. The secondary struc...
Computational tools for protein structure prediction are of great interest to molecular, structural ...
Despite recent efforts to develop automated pro-tein structure determination protocols, structural g...
Proteins play a crucial roll in all biological processes. The wide range of protein functions is mad...
International audienceThe last few years mark dramatic improvements in modeling of protein structure...