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Structural Dynamics Predominantly Determine the Adaptability of Proteins to Amino Acid Deletions

International Journal of Molecular Sciences(2023)10.3390/ijms24098450Source: DataRank Database

Structural Dynamics Predominantly Determine the Adaptability of Proteins to Amino Acid Deletions is a research paper published in International Journal of Molecular Sciences (2023). On theSindex it has a DataRank of 0. It has been cited 3 times.

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Open Access3 citations

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Enrichment:Funding (4 grants)Impact (FWCI 0.28)OA: goldTopics (28)IDs (PubMed, PMC, OpenAlex)Annotations (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (2)

İvet Bahar ORCID,Anupam Banerjee ORCID

Live enrichment

PubMed:37176156 PMC:PMC10179678 OpenAlex:https://openalex.org/W4376630586

NIGMS NIH HHS

Grant: P41 GM103712

NIH HHS

Grant: P41 GM103712, R01 GM139297

NIGMS NIH HHS

Grant: R01 GM139297

Human Frontiers Science Program (HFSP)

Grant: RGP0027/2020

FWCI

0.28

Citation Percentile

0.5%

Citation Trend

2023

2025

goldLicense: cc-by

journalhttps://www.mdpi.com/1422-0067/24/9/8450/pdf?version=1683599201

publisherhttps://www.mdpi.com/1422-0067/24/9/8450/pdf?version=1683599201

journalhttps://doi.org/10.3390/ijms24098450

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37176156

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10179678

Fields of Study

Protein Structure and DynamicsMachine Learning in BioinformaticsEnzyme Structure and FunctionAmino AcidsProteinsINDEL MutationProtein Engineering

MeSH Terms

Amino AcidsProteinsProtein EngineeringINDEL Mutation

Keywords

Computational biologyAmino acidIndelMutantAdaptabilityAllosteric regulationProtein foldingBiologyGeneticsComputer scienceBiochemistryGeneDeletion MutationsStructural DynamicsElastic Network ModelsFolding StabilityPositive-unlabeled Learning Classifiers

Structural Dynamics Predominantly Determine the Adaptability of Proteins to Amino Acid Deletions

FAIR Checklist

Authors (2)

Funding (4 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)