Machine learning in protein structure prediction.
Sign Up to like & getrecommendations! Published in 2021 at "Current opinion in chemical biology"
DOI: 10.1016/j.cbpa.2021.04.005
Abstract: Prediction of protein structure from sequence has been intensely studied for many decades, owing to the problem's importance and its uniquely well-defined physical and computational bases. While progress has historically ebbed and flowed, the past… read more here.
Keywords: machine learning; protein structure; learning protein; structure ... See more keywords
Learning the protein language: Evolution, structure, and function.
Sign Up to like & getrecommendations! Published in 2021 at "Cell systems"
DOI: 10.1016/j.cels.2021.05.017
Abstract: Language models have recently emerged as a powerful machine-learning approach for distilling information from massive protein sequence databases. From readily available sequence data alone, these models discover evolutionary, structural, and functional organization across protein space.… read more here.
Keywords: language models; protein language; function; language ... See more keywords
Machine learning for protein folding and dynamics.
Sign Up to like & getrecommendations! Published in 2019 at "Current opinion in structural biology"
DOI: 10.1016/j.sbi.2019.12.005
Abstract: Many aspects of the study of protein folding and dynamics have been affected by the recent advances in machine learning. Methods for the prediction of protein structures from their sequences are now heavily based on… read more here.
Keywords: machine; machine learning; protein folding; folding dynamics ... See more keywords
Generative Adversarial Learning of Protein Tertiary Structures
Sign Up to like & getrecommendations! Published in 2021 at "Molecules"
DOI: 10.3390/molecules26051209
Abstract: Protein molecules are inherently dynamic and modulate their interactions with different molecular partners by accessing different tertiary structures under physiological conditions. Elucidating such structures remains challenging. Current momentum in deep learning and the powerful performance… read more here.
Keywords: generative adversarial; tertiary structures; protein tertiary; adversarial learning ... See more keywords