[HTML][HTML] Homology modeling in the time of collective and artificial intelligence
Homology modeling is a method for building protein 3D structures using protein primary
sequence and utilizing prior knowledge gained from structural similarities with other …
sequence and utilizing prior knowledge gained from structural similarities with other …
DeepMSA: constructing deep multiple sequence alignment to improve contact prediction and fold-recognition for distant-homology proteins
Motivation The success of genome sequencing techniques has resulted in rapid explosion
of protein sequences. Collections of multiple homologous sequences can provide critical …
of protein sequences. Collections of multiple homologous sequences can provide critical …
DEEPCON: protein contact prediction using dilated convolutional neural networks with dropout
B Adhikari - Bioinformatics, 2020 - academic.oup.com
Motivation Exciting new opportunities have arisen to solve the protein contact prediction
problem from the progress in neural networks and the availability of a large number of …
problem from the progress in neural networks and the availability of a large number of …
PconsFam: an interactive database of structure predictions of Pfam families
At present, about half of the protein domain families lack a structural representative.
However, in the last decade, predicting contact maps and using these to model the tertiary …
However, in the last decade, predicting contact maps and using these to model the tertiary …