Results 181 to 190 of about 1,386,749 (339)

Meta‐analysis fails to show any correlation between protein abundance and ubiquitination changes

FEBS Open Bio, EarlyView.
We analyzed over 50 published proteomics datasets to explore the relationship between protein levels and ubiquitination changes across multiple experimental conditions and biological systems. Although ubiquitination is often associated with protein degradation, our analysis shows that changes in ubiquitination do not globally correlate with changes in ...
Nerea Osinalde, Unai Alduntzin, Gorka Prieto, Ugo Mayor   +3 more
wiley   +1 more source

Are predicted protein structures of any value for binding site prediction and virtual ligand screening?

, 2013
Jeffrey Skolnick, Hongyi Zhou, Mu Gao
openalex   +2 more sources

Promiscuous stimulation of HSP70 ATPase activity by parasite‐derived J‐domains

FEBS Open Bio, EarlyView.
The malaria parasite Plasmodium falciparum exports three highly homologous yet functionally divergent J‐domain proteins into human erythrocytes. Here, we show that J‐domains isolated from all three proteins effectively stimulate the ATPase activity of both endogenous host and exported parasite HSP70 chaperones.
Julian Barth, Moritz Koch, Le‐Han Rössner, Johanna Eichhorn, Denys Pogoryelov, Matthias P. Mayer, Jude M. Przyborski   +6 more
wiley   +1 more source

DeepFold-PLM: accelerating protein structure prediction via efficient homology search using protein language models. [PDF]

Bioinformatics
Kim M, Bae H, Jo G, Kim K, Lee SJ, Yoo J, Joo K.   +6 more
europepmc   +1 more source

Multi-domain and complex protein structure prediction using inter-domain interactions from deep learning. [PDF]

Commun Biol, 2023
Xia Y, Zhao K, Liu D, Zhou X, Zhang G.
europepmc   +1 more source

Workflow for Protein Structure Prediction, Refinement, and Validation v1 [PDF]

M. De Palma
openalex   +1 more source

Advances in protein structure prediction and design

Nature reviews. Molecular cell biology, 2019
B. Kuhlman, P. Bradley
semanticscholar   +1 more source

Method of the Year: protein structure prediction

Nature Methods, 2022
V. Marx
semanticscholar   +1 more source

SNUPN‐Related Muscular Dystrophy: Novel Phenotypic, Pathological and Functional Protein Insights

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective SNUPN‐related muscular dystrophy or LGMDR29 is a new entity that covers from a congenital or childhood onset pure muscular dystrophy to more complex phenotypes combining neurodevelopmental features, cataracts, or spinocerebellar ataxia. So far, 12 different variants have been described.
Nuria Muelas, Pablo Iruzubieta, Alberto Damborenea, Laura Pérez‐Fernández, Inmaculada Azorín, Juan Carlos Jiménez García, Ana Töpf, Pilar Martí, Lorena Fores‐Toribio, María Manterola, Rosana Blanco‐Mañez, Oihane Pikatza‐Menoio, Sonia Alonso‐Martín, Volker Straub, Aitziber L. Cortajarena, Adolfo López de Munain, David De Sancho, Lorea Blázquez, Juan J. Vilchez   +18 more
wiley   +1 more source

Adaptive gradient scaling: integrating Adam and landscape modification for protein structure prediction. [PDF]

BMC Bioinformatics
Kapitan V, Choi M.
europepmc   +1 more source