Use of in silico (computer) methods to predict and analyze the tertiary structure of plant hemoglobins
- PMID: 18237645
- DOI: 10.1016/S0076-6879(08)36022-4
Use of in silico (computer) methods to predict and analyze the tertiary structure of plant hemoglobins
Abstract
Amino acid sequences for more than 60 plant hemoglobins (Hbs) are deposited in databases, but the tertiary structure of only 4 plant Hbs have been reported; thus, the gap between the reported sequences and structures of plant Hbs is large. Elucidating the structure of plant Hbs is essential to fully understanding the function of these proteins in plant cells. Determining the actual protein structure by experimental methods (i.e., by X-ray crystallography) requires considerable protein material and is expensive; thus, this type of work is limited to few laboratories around the world. In silico (computer) methods to predict the tertiary structure of proteins from amino acid sequences have been implemented and are helping reduce the sequence-structure gap. Thus, in silico methods are useful tools for predicting the tertiary structure of several plant Hbs from amino acid sequences deposited in databases. In this chapter, we describe a method for predicting and analyzing the structure of a rice Hb2 from the template structure of native rice Hb1. This method is based on a comparative modeling method that uses programs from the SWISS-MODEL server.
Similar articles
-
Prediction of folding pathway and kinetics among plant hemoglobins using an average distance map method.Proteins. 2005 Nov 15;61(3):500-6. doi: 10.1002/prot.20658. Proteins. 2005. PMID: 16184600
-
An automated method for modeling proteins on known templates using distance geometry.Protein Sci. 1993 Feb;2(2):277-89. doi: 10.1002/pro.5560020216. Protein Sci. 1993. PMID: 8443604 Free PMC article.
-
A critical assessment of comparative molecular modeling of tertiary structures of proteins.Proteins. 1995 Nov;23(3):301-17. doi: 10.1002/prot.340230305. Proteins. 1995. PMID: 8710824
-
Plant hemoglobins: what we know six decades after their discovery.Gene. 2007 Aug 15;398(1-2):78-85. doi: 10.1016/j.gene.2007.01.035. Epub 2007 Apr 25. Gene. 2007. PMID: 17540516 Review.
-
Comparative modelling: an essential methodology for protein structure prediction in the post-genomic era.Appl Bioinformatics. 2002;1(4):177-90. Appl Bioinformatics. 2002. PMID: 15130836 Review.
Cited by
-
A bioinformatics insight to rhizobial globins: gene identification and mapping, polypeptide sequence and phenetic analysis, and protein modeling.F1000Res. 2015 May 13;4:117. doi: 10.12688/f1000research.6392.1. eCollection 2015. F1000Res. 2015. PMID: 26594329 Free PMC article.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Miscellaneous