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1.
Genet. mol. res. (Online) ; 6(2): 422-433, 2007. tab, graf
Article in English | LILACS | ID: lil-482027

ABSTRACT

We recently developed an amphipathy scale, elaborated from molecular dynamics data that can be used for the identification of hydrophobic or hydrophilic regions in proteins. This amphipathy scale reflects side chain/water molecule interaction energies. We have now used this amphipathy scale to find candidates for transmembrane segments, by examining a large sample of membrane proteins with alpha-helix segments. The candidates were selected based on an amphipathy coefficient value range and the minimum number of residues in a segment. We compared our results with the transmembrane segments previously identified in the PDB_TM database by the TMDET algorithm. We expected that the hydrophobic segments would be identified using only the primary structures of the proteins and the amphipathy scale. However, some of these hydrophobic segments may pertain to hydrophobic pockets not included in transmembrane regions. We found that our amphipathy scale could identify alpha-helix transmembrane regions with a probability of success of 76% when all segments were included and 90% when all membrane proteins were included.


Subject(s)
Humans , Animals , Proteins/chemistry , Proteomics/methods , Amino Acids/chemistry , Sequence Analysis, Protein , Databases, Protein , Protein Conformation , Protein Structure, Secondary , Genetics , Proteins/metabolism , Computer Simulation
2.
Genet. mol. res. (Online) ; 5(2): 350-372, 2006. ilus, tab, graf
Article in English | LILACS | ID: lil-442563

ABSTRACT

The growth of cells is controlled by stimulatory or inhibitory factors. More than twenty different families of polypeptide growth factors have been structurally and functionally characterized. Basic fibroblast growth factor (bFGF) of the fibroblast growth factor family was characterized in 1974 as having proliferative activity for fibroblastic cells. The inhibitory effects of ethanol on cell proliferation result from interference with mitogenic growth factors (e.g., bFGF, EGF and PDGF). In order to better understand the mode of action of bFGF, particularly regarding the influence of ethanol on the biological activity of bFGF, three recombinant bFGF mutants were produced (M6B-bFGF, M1-bFGF and M1Q-bFGF). In the present study, wild bFGF and these mutants were examined by molecular dynamics simulations in systems consisting of a solute molecule in ethanol solution at 298 K and physiological pH over 4.0 ns. The hydrogen bonds, the root mean square deviations and specific radial distribution functions were employed to identify changes in the hydrogen bond structures, in the stability and in the approximation of groups in the different peptides to get some insight into the biological role of specific bFGF regions. The detailed description of the intramolecular hydrogen bonds, hydration, and intermolecular hydrogen bonds taking place in bFGF and its mutants in the presence of ethanol established that the residues belonging to the beta5 and beta9 strands, especially SER-73(beta5), TYR-112(beta9), THR-114(beta9), TYR-115(beta9), and SER-117(beta9), are the regions most affected by the presence of ethanol molecules in solution.


Subject(s)
Ethanol/pharmacology , /drug effects , Computer Simulation , Molecular Structure , /chemistry , /genetics , Hydrogen Bonding/drug effects , Models, Genetic , Models, Chemical
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