Protein structure prediction. Introduction to session

A. Keith Dunker, Richard H. Lathrop

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The Central Dogma of Molecular Biology is that information flows from DNA sequence to RNA sequence to amino acid sequence which then folds to give protein its correct and 3D structure. One of the most successful approaches is homology modeling. The homology modelled structure is often accurate enough for detailed atomic binding studies and drug discovery programs. However homology modeling is dependent on correct sequence alignments. This paper tries to formulate the protein folding problem as combinatorial optimization. Application of the genetic algorithms to the ab initio prediction of the folded structure is one of the methods. Secondary structure prediction accuracy has risen due to the application of neural networks.

Original languageEnglish (US)
Title of host publicationProceedings of the Hawaii International Conference on System Sciences
EditorsJay F. Nunamaker, Ralph H.Jr. Sprague
PublisherPubl by IEEE
Number of pages1
ISBN (Print)0818650907
StatePublished - Jan 1 1995
EventProceedings of the 27th Hawaii International Conference on System Sciences (HICSS-27). Part 4 (of 5) - Wailea, HI, USA
Duration: Jan 4 1994Jan 7 1994

Publication series

NameProceedings of the Hawaii International Conference on System Sciences
Volume5
ISSN (Print)1060-3425

Other

OtherProceedings of the 27th Hawaii International Conference on System Sciences (HICSS-27). Part 4 (of 5)
CityWailea, HI, USA
Period1/4/941/7/94

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ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Dunker, A. K., & Lathrop, R. H. (1995). Protein structure prediction. Introduction to session. In J. F. Nunamaker, & R. H. J. Sprague (Eds.), Proceedings of the Hawaii International Conference on System Sciences (Proceedings of the Hawaii International Conference on System Sciences; Vol. 5). Publ by IEEE.