- 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, Brown, David K, Amamuddy, Olivier S, Ross, Caroline J, Matovu, Enock, Tastan Bishop, Özlem
- 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, pdf
- Language
- English
- Relation
- AAS Open Research, 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, 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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Collections
Tastan Bishop, Ozlem (Prof)
RU Research Unit in Bioinformatics (RUBi)
RU Department of Biochemistry, Microbiology and Bioinformatics
SDG 03. Good Health and Well-Being
| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details | SOURCE1 | Computational analysis of missense mutations from the human Macrophage.pdf | 77 KB | Adobe Acrobat PDF | View Details |