Michael J E Sternberg
Overview
Explore the profile of Michael J E Sternberg including associated specialties, affiliations and a list of published articles.
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Articles
106
Citations
12132
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Recent Articles
1.
Casadio R, Mathews D, Sternberg M
J Mol Biol
. 2024 Aug;
436(17):168739.
PMID: 39117178
No abstract available.
2.
Hanna G, Khanna T, Islam S, David A, Sternberg M
J Mol Biol
. 2024 Jan;
436(2):168374.
PMID: 38182301
Variant effect predictors assess if a substitution is pathogenic or benign. Most predictors, including those that are structure-based, are designed for globular proteins in aqueous environments and do not consider...
3.
Pennica C, Hanna G, Islam S, Sternberg M, David A
J Mol Biol
. 2023 Jun;
435(14):168060.
PMID: 37356905
In 2019, we released Missense3D which identifies stereochemical features that are disrupted by a missense variant, such as introducing a buried charge. Missense3D analyses the effect of a missense variant...
4.
Mathews D, Casadio R, Sternberg M
J Mol Biol
. 2023 May;
435(14):168160.
PMID: 37244569
No abstract available.
5.
Protein structure-based evaluation of missense variants: Resources, challenges and future directions
David A, Sternberg M
Curr Opin Struct Biol
. 2023 May;
80:102600.
PMID: 37126977
We provide an overview of the methods that can be used for protein structure-based evaluation of missense variants. The algorithms can be broadly divided into those that calculate the difference...
6.
Malladi S, Powell H, David A, Islam S, Copeland M, Kundrotas P, et al.
J Mol Biol
. 2022 Jun;
434(11):167608.
PMID: 35662458
Rapid progress in structural modeling of proteins and their interactions is powered by advances in knowledge-based methodologies along with better understanding of physical principles of protein structure and function. The...
7.
Casadio R, Mathews D, Sternberg M
J Mol Biol
. 2022 May;
434(11):167625.
PMID: 35569508
No abstract available.
8.
McGreig J, Uri H, Antczak M, Sternberg M, Michaelis M, Wass M
Nucleic Acids Res
. 2022 Apr;
50(W1):W13-W20.
PMID: 35412635
3DLigandSite is a web tool for the prediction of ligand-binding sites in proteins. Here, we report a significant update since the first release of 3DLigandSite in 2010. The overall methodology...
9.
David A, Islam S, Tankhilevich E, Sternberg M
J Mol Biol
. 2021 Nov;
434(2):167336.
PMID: 34757056
AlphaFold, the deep learning algorithm developed by DeepMind, recently released the three-dimensional models of the whole human proteome to the scientific community. Here we discuss the advantages, limitations and the...
10.
Casadio R, Lenhard B, Sternberg M
J Mol Biol
. 2021 Mar;
433(11):166962.
PMID: 33774035
No abstract available.