Computational modeling of protein mutant stability: analysis and optimization 
of statistical potentials and structural features reveal insights into 
prediction model development.

Vijayarangakannan, P.; Gromiha, M. M.; Abhinanadan, M.; Schomburg, D.

doi:10.1186/1472-6807-7-54

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Computational modeling of protein mutant stability: analysis and optimization of statistical potentials and structural features reveal insights into prediction model development.

Vijayarangakannan, P., Gromiha, M. M., Abhinanadan, M., & Schomburg, D. (2007). Computational modeling of protein mutant stability: analysis and optimization of statistical potentials and structural features reveal insights into prediction model development. BMC Structural Biology, 7: 54. doi:10.1186/1472-6807-7-54.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0003-1C2B-F Version Permalink: https://hdl.handle.net/21.11116/0000-0003-1C2C-E

Genre: Journal Article

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Creators:
Vijayarangakannan, P.¹, Author
Gromiha, M. M., Author
Abhinanadan, M., Author
Schomburg, D., Author

Affiliations:
1IMPRS, MPI for Plant Breeding Research, Max Planck Society, ou_1113565

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Dates: Published Online: 2007

Publication Status: Published online

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Rev. Type: Peer

Identifiers: DOI: 10.1186/1472-6807-7-54

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Title: BMC Structural Biology

Source Genre: Journal

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Publ. Info: London : BioMed Central

Pages: - Volume / Issue: 7 Sequence Number: 54 Start / End Page: - Identifier: ISSN: 1471-2237
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000223970_2