Articles with "mutational scanning" as a keyword



Directed Evolution of Proteins Based on Mutational Scanning.

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Published in 2018 at "Methods in molecular biology"

DOI: 10.1007/978-1-4939-7366-8_6

Abstract: Directed evolution has emerged as one of the most effective protein engineering methods in basic research as well as in applications in synthetic organic chemistry and biotechnology. The successful engineering of protein activity, allostery, binding… read more here.

Keywords: evolution proteins; mutational scanning; chemistry; directed evolution ... See more keywords

Application of Deep Mutational Scanning in Hepatitis C Virus.

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Published in 2019 at "Methods in molecular biology"

DOI: 10.1007/978-1-4939-8976-8_12

Abstract: Mutagenesis is one of the key techniques in virus research. The recent development of deep mutational scanning allows the assessment of replication fitness effects of a large number of viral mutants in a high-throughput manner.… read more here.

Keywords: deep mutational; mutational scanning; hepatitis virus;

Deep mutational scanning for therapeutic antibody engineering.

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Published in 2021 at "Trends in pharmacological sciences"

DOI: 10.1016/j.tips.2021.11.010

Abstract: The biophysical and functional properties of monoclonal antibody (mAb) drug candidates are often improved by protein engineering methods to increase the probability of clinical efficacy. One emerging method is deep mutational scanning (DMS) which combines… read more here.

Keywords: scanning therapeutic; engineering; antibody; mutational scanning ... See more keywords

Elucidating the Determinants of Polymerase Specificity by Microfluidic-Based Deep Mutational Scanning.

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Published in 2019 at "ACS synthetic biology"

DOI: 10.1021/acssynbio.9b00104

Abstract: Engineering polymerases to synthesize artificial genetic polymers with unique backbone structures is limited by a general lack of understanding about the structural determinants that govern substrate specificity. Here, we report a high-throughput microfluidic-based approach for… read more here.

Keywords: deep mutational; microfluidic based; polymerase specificity; mutational scanning ... See more keywords

Comprehensive mutational scanning of EGFR reveals TKI sensitivities of extracellular domain mutants

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Published in 2024 at "Nature Communications"

DOI: 10.1038/s41467-024-45594-4

Abstract: The epidermal growth factor receptor, EGFR, is frequently activated in lung cancer and glioblastoma by genomic alterations including missense mutations. The different mutation spectra in these diseases are reflected in divergent responses to EGFR inhibition:… read more here.

Keywords: egfr; extracellular domain; lung cancer; mutational scanning ... See more keywords

Deep mutational scanning reveals a correlation between degradation and toxicity of thousands of aspartoacylase variants

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Published in 2024 at "Nature Communications"

DOI: 10.1038/s41467-024-48481-0

Abstract: Unstable proteins are prone to form non-native interactions with other proteins and thereby may become toxic. To mitigate this, destabilized proteins are targeted by the protein quality control network. Here we present systematic studies of… read more here.

Keywords: deep mutational; disease; degradation; mutational scanning ... See more keywords

Deep-learning structure elucidation from single-mutant deep mutational scanning

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Published in 2024 at "Nature Communications"

DOI: 10.1038/s41467-025-62261-4

Abstract: Deep learning has revolutionized the field of protein structure prediction. AlphaFold2, a deep neural network, vastly outperformed previous algorithms to provide near atomic-level accuracy when predicting protein structures. Despite its success, there still are limitations… read more here.

Keywords: deep learning; deep mutational; dms; mutational scanning ... See more keywords

Deep mutational scanning of S. pyogenes Cas9 reveals important functional domains

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Published in 2017 at "Scientific Reports"

DOI: 10.1038/s41598-017-17081-y

Abstract: RNA-guided endonucleases (RGENs) have invigorated the field of site-specific nucleases. The success of Streptococcus pyogenes Cas9 (SpCas9) has led to the discovery of several other CRISPR-associated RGENs. As more RGENs become available, it will be… read more here.

Keywords: pyogenes cas9; deep mutational; important functional; mutational scanning ... See more keywords

Employing deep mutational scanning in the Escherichia coli periplasm to decode the thermodynamic landscape for amyloid formation

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Published in 2025 at "Proceedings of the National Academy of Sciences of the United States of America"

DOI: 10.1073/pnas.2516165122

Abstract: Significance Here, we adapt the tripartite β-lactamase assay (TPBLA) performed in the oxidizing environment of the Escherichia coli periplasm to a high-throughput deep mutational scanning platform, expanding variant assessment to potentially many thousands at a… read more here.

Keywords: escherichia coli; mutational scanning; deep mutational; coli periplasm ... See more keywords

Coordination of -1 programmed ribosomal frameshifting by transcript and nascent chain features revealed by deep mutational scanning

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Published in 2021 at "Nucleic Acids Research"

DOI: 10.1093/nar/gkab1172

Abstract: Abstract Programmed ribosomal frameshifting (PRF) is a translational recoding mechanism that enables the synthesis of multiple polypeptides from a single transcript. During translation of the alphavirus structural polyprotein, the efficiency of −1PRF is coordinated by… read more here.

Keywords: ribosomal frameshifting; transcript nascent; chain; mutational scanning ... See more keywords

Deep mutational scanning and machine learning reveal structural and molecular rules governing allosteric hotspots in homologous proteins

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Published in 2022 at "eLife"

DOI: 10.1101/2022.05.01.490188

Abstract: A fundamental question in protein science is where allosteric hotspots – residues critical for allosteric signaling – are located, and what properties differentiate them. We carried out deep mutational scanning (DMS) of four homologous bacterial… read more here.

Keywords: structural molecular; allosteric hotspots; machine learning; deep mutational ... See more keywords