/explore
|
You are here 
|
www.blopig.com | ||
| | | | |
graylab.jhu.edu
[AI summary] The provided text is a detailed list of functions and methods related to the Rosetta software suite, specifically focusing on the 'grafting' protocols. These functions are used for tasks such as inserting one protein structure into another, superimposing regions, repacking residues, and setting up fold trees for loop modeling. The functions are part of the Rosetta Common's protocols and are typically used in structural biology and protein design applications. |
|
| | | | | ||
| | | | |
bair.berkeley.edu
[AI summary] This article explores the application of natural language processing (NLP) techniques, particularly self-supervised learning, to the study of proteins. It discusses the challenges of protein structure prediction, the potential of using large unlabeled protein sequence datasets, and introduces TAPE, a benchmarking framework for evaluating protein representations. The article highlights the importance of understanding protein structure and function, the limitations of traditional methods, and the promise of leveraging self-supervised learning to improve protein prediction tasks. It also touches on the practical implications of these advancements, such as protein engineering and drug discovery. |
|
| | | | | ||
| | | | |
blog.matteoferla.com
Filling missing loops by cannibalising AlphaFold2 |
|
| | | | | ||
| | | | |
seangoedecke.com
|
|
| | | |||
