Results 61 to 70 of about 1,677,396 (366)

Improved Protein Structure Prediction Using a New Multi‐Scale Network and Homologous Templates

open access: yesAdvancement of science, 2021
The accuracy of de novo protein structure prediction has been improved considerably in recent years, mostly due to the introduction of deep learning techniques.
Hong Su   +6 more
semanticscholar   +1 more source

Protein Structure Prediction: The Next Generation

open access: yes, 2006
Over the last 10-15 years a general understanding of the chemical reaction of protein folding has emerged from statistical mechanics. The lessons learned from protein folding kinetics based on energy landscape ideas have benefited protein structure ...
Eastwood, Michael P.   +4 more
core   +1 more source

DeepComplex: A Web Server of Predicting Protein Complex Structures by Deep Learning Inter-chain Contact Prediction and Distance-Based Modelling

open access: yesFrontiers in Molecular Biosciences, 2021
Proteins interact to form complexes. Predicting the quaternary structure of protein complexes is useful for protein function analysis, protein engineering, and drug design.
Farhan Quadir   +3 more
doaj   +1 more source

Protein language model embeddings for fast, accurate, alignment-free protein structure prediction

open access: yesbioRxiv, 2021
All state-of-the-art (SOTA) protein structure predictions rely on evolutionary information captured in multiple sequence alignments (MSAs), primarily on evolutionary couplings (co-evolution).
Konstantin Weissenow   +2 more
semanticscholar   +1 more source

Protein Structure Prediction Using Basin-Hopping

open access: yes, 2008
Associative memory Hamiltonian structure prediction potentials are not overly rugged, thereby suggesting their landscapes are like those of actual proteins.
David J. Wales   +4 more
core   +2 more sources

Collective estimation of multiple bivariate density functions with application to angular-sampling-based protein loop modeling [PDF]

open access: yes, 2016
This article develops a method for simultaneous estimation of density functions for a collection of populations of protein backbone angle pairs using a data-driven, shared basis that is constructed by bivariate spline functions defined on a triangulation
Gao, Xin   +4 more
core   +2 more sources

Deep Learning-Based Advances in Protein Structure Prediction

open access: yesInternational Journal of Molecular Sciences, 2021
Obtaining an accurate description of protein structure is a fundamental step toward understanding the underpinning of biology. Although recent advances in experimental approaches have greatly enhanced our capabilities to experimentally determine protein ...
S. C. Pakhrin   +3 more
semanticscholar   +1 more source

Recent Progress of Protein Tertiary Structure Prediction

open access: yesMolecules
The prediction of three-dimensional (3D) protein structure from amino acid sequences has stood as a significant challenge in computational and structural bioinformatics for decades.
Qiqige Wuyun   +7 more
doaj   +1 more source

LZerD Protein-Protein Docking Webserver Enhanced With de novo Structure Prediction

open access: yesFrontiers in Molecular Biosciences, 2021
Protein-protein docking is a useful tool for modeling the structures of protein complexes that have yet to be experimentally determined. Understanding the structures of protein complexes is a key component for formulating hypotheses in biophysics ...
Charles Christoffer   +4 more
doaj   +1 more source

Current successes and remaining challenges in protein function prediction

open access: yesFrontiers in Bioinformatics, 2023
In recent years, improvements in protein function prediction methods have led to increased success in annotating protein sequences. However, the functions of over 30% of protein-coding genes remain unknown for many sequenced genomes.
Constance J. Jeffery
doaj   +1 more source

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