Results 31 to 40 of about 168,206 (155)

Les mécanismes de repliement des protéines solubles [PDF]

open access: yesBiotechnologie, Agronomie, Société et Environnement, 2000
Mechanisms of folding of soluble proteins. The function of a protein is carried out by its three-dimensional structure. The rules for translation of the information encoded by DNAinto an amino acid sequence are well known.
Brasseur B., Benhabilès N., Thomas A.
doaj  

Modeling the Tertiary Structure of the Rift Valley Fever Virus L Protein

open access: yesMolecules, 2019
A tertiary structure governs, to a great extent, the biological activity of a protein in the living cell and is consequently a central focus of numerous studies aiming to shed light on cellular processes central to human health. Here, we aim to elucidate
Gideon K. Gogovi   +5 more
doaj   +1 more source

A systematic structural comparison of all solved small proteins deposited in PDB. The effect of disulfide bonds in protein fold

open access: yesComputational and Structural Biotechnology Journal, 2021
Defensins are small proteins, usually ranging from 3 to 6 kDa, amphipathic, disulfide-rich, and with a small or even absent hydrophobic core. Since a hydrophobic core is generally found in globular proteins that fold in an aqueous solvent, the peculiar ...
Mariana H. Moreira   +3 more
doaj   +1 more source

Crystal structure of domain of unknown function 507 (DUF507) reveals a new protein fold

open access: yesScientific Reports, 2023
The crystal structure of the domain of unknown function family 507 protein from Aquifex aeolicus is reported (AaDUF507, UniProt O67633, 183 residues). The structure was determined in two space groups (C2221 and P3221) at 1.9 Å resolution.
Cole E. McKay   +2 more
doaj   +1 more source

PROTINFO: secondary and tertiary protein structure prediction [PDF]

open access: yesNucleic Acids Research, 2003
Information about the secondary and tertiary structure of a protein sequence can greatly assist biologists in the generation and testing of hypotheses, as well as design of experiments. The PROTINFO server enables users to submit a protein sequence and request a prediction of the three-dimensional (tertiary) structure based on comparative modeling ...
Ling-Hong, Hung, Ram, Samudrala
openaire   +2 more sources

Prediction of Protein Tertiary Structures Using MUFOLD [PDF]

open access: yes, 2011
There have been steady improvements in protein structure prediction during the past two decades. However, current methods are still far from consistently predicting structural models accurately with computing power accessible to common users. To address this challenge, we developed MUFOLD, a hybrid method of using whole and partial template information
Jingfen, Zhang   +6 more
openaire   +2 more sources

Multiple co-evolutionary networks are supported by the common tertiary scaffold of the LacI/GalR proteins. [PDF]

open access: yesPLoS ONE, 2013
Protein families might evolve paralogous functions on their common tertiary scaffold in two ways. First, the locations of functionally-important sites might be "hard-wired" into the structure, with novel functions evolved by altering the amino acid (e.g.
Daniel J Parente, Liskin Swint-Kruse
doaj   +1 more source

An insight into structural plasticity and conformational transitions of transcriptional co-activator Sus1.

open access: yesPLoS ONE, 2020
RNA biogenesis and mRNA transport are an intricate process for every eukaryotic cell. SAGA, a transcriptional coactivator and TREX-2 are the two major complexes participate in this process.
Akhilendra Pratap Bharati   +4 more
doaj   +1 more source

Fast protein structure comparison through effective representation learning with contrastive graph neural networks.

open access: yesPLoS Computational Biology, 2022
Protein structure alignment algorithms are often time-consuming, resulting in challenges for large-scale protein structure similarity-based retrieval.
Chunqiu Xia   +4 more
doaj   +1 more source

CopulaNet: Learning residue co-evolution directly from multiple sequence alignment for protein structure prediction

open access: yesNature Communications, 2021
Protein structure prediction is a challenge. A new deep learning framework, CopulaNet, is a major step forward toward end-to-end prediction of inter-residue distances and protein tertiary structures with improved accuracy and efficiency.
Fusong Ju   +6 more
doaj   +1 more source

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