A-Prot: protein structure modeling using MSA transformer
Abstract Background The accuracy of protein 3D structure prediction has been dramatically improved with the help of advances in deep learning. In the recent CASP14, Deepmind demonstrated that their new version of AlphaFold (AF) produces highly accurate 3D models almost close to experimental structur...
Main Authors: | Yiyu Hong, Juyong Lee, Junsu Ko |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2022-03-01
|
Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12859-022-04628-8 |
Similar Items
-
S-Pred: protein structural property prediction using MSA transformer
by: Yiyu Hong, et al.
Published: (2022-08-01) -
cpxDeepMSA: A Deep Cascade Algorithm for Constructing Multiple Sequence Alignments of Protein–Protein Interactions
by: Zi Liu, et al.
Published: (2022-07-01) -
OXBench: A benchmark for evaluation of protein multiple sequence alignment accuracy
by: Searle Stephen MJ, et al.
Published: (2003-10-01) -
PITHIA: Protein Interaction Site Prediction Using Multiple Sequence Alignments and Attention
by: SeyedMohsen Hosseini, et al.
Published: (2022-10-01) -
Comprehensive computational analysis of the SRK–SP11 molecular interaction underlying self-incompatibility in Brassicaceae using improved structure prediction for cysteine-rich proteins
by: Tomoki Sawa, et al.
Published: (2023-01-01)