Computational analysis of missense mutations from the human Macrophage Migration Inhibitory Factor (MIF) protein by Molecular Dynamics Simulations and Dynamic Residue Network Analysis:

Kimuda, Phillip M; Brown, David K; Amamuddy, Olivier S; Ross, Caroline J; Matovu, Enock; Tastan Bishop, Özlem

Title: Computational analysis of missense mutations from the human Macrophage Migration Inhibitory Factor (MIF) protein by Molecular Dynamics Simulations and Dynamic Residue Network Analysis:
Creator: Kimuda, Phillip M
Creator: Brown, David K
Creator: Amamuddy, Olivier S
Creator: Ross, Caroline J
Creator: Matovu, Enock
Creator: Tastan Bishop, Özlem
Date Issued: 2019
Date: 2019
Type: text
Type: article
Identifier: http://hdl.handle.net/10962/163238
Identifier: vital:41021
Identifier: https://doi.org/10.21955/aasopenres.1115054.1
Description: Missense mutations are changes in the DNA that result in a change in the amino acid sequence. Depending on their location within the protein they can have a negative impact on how the protein functions. This is especially important for proteins involved in the body’s response to infection and diseases. Macrophage migration inhibitory factor (MIF) is one such protein that functions to recruit white blood cells to sites of inflammation.
Format: 3 page
Format: pdf
Language: English
Relation: AAS Open Research
Relation: Kimuda, P.M., Brown, D.K., Amamuddy, O.S., Ross, C., Matovu, E. and Bishop, Ö.T., 2019. Computational analysis of missense mutations from the human Macrophage Migration Inhibitory Factor (MIF) protein by Molecular Dynamics Simulations and Dynamic Residue Network Analysis. AAS Open Res, 2
Relation: AAS Open Research volume 2 number 1 2 August 2019 2515-9321
Rights: Publisher
Rights: Use of this resource is governed by the terms and conditions of the AAS Open Research Policy Statement (https://aasopenresearch.org/about/policies#licenses)

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Tastan Bishop, Ozlem (Prof)

RU Research Unit in Bioinformatics (RUBi)

RU Department of Biochemistry, Microbiology and Bioinformatics

SDG 03. Good Health and Well-Being

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