Ab initio prediction of helical segments in polypeptides

An ab initio method has been developed to predict helix formation for polypeptides. The approach relies on the systematic analysis of overlapping oligopeptides to determine the helical propensity for individual residues. Detailed atomistic level modeling, including entropic contributions, and solvat...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:Journal of computational chemistry. - 1984. - 23(2002), 2 vom: 30. Jan., Seite 245-66
1. Verfasser: Klepeis, J L (VerfasserIn)
Weitere Verfasser: Floudas, C A
Format: Aufsatz
Sprache:English
Veröffentlicht: 2002
Zugriff auf das übergeordnete Werk:Journal of computational chemistry
Schlagworte:Journal Article Research Support, U.S. Gov't, Non-P.H.S. Research Support, U.S. Gov't, P.H.S. DNA-Binding Proteins G-substrate Nerve Tissue Proteins Peptides Plant Proteins Repressor Proteins Viral Proteins mehr... Viral Regulatory and Accessory Proteins Wheat Germ Agglutinins chymotrypsin inhibitor 2 phage repressor proteins Aprotinin 9087-70-1
LEADER 01000naa a22002652 4500
001 NLM118068857
003 DE-627
005 20231222181903.0
007 tu
008 231222s2002 xx ||||| 00| ||eng c
028 5 2 |a pubmed24n0394.xml 
035 |a (DE-627)NLM118068857 
035 |a (NLM)11924737 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Klepeis, J L  |e verfasserin  |4 aut 
245 1 0 |a Ab initio prediction of helical segments in polypeptides 
264 1 |c 2002 
336 |a Text  |b txt  |2 rdacontent 
337 |a ohne Hilfsmittel zu benutzen  |b n  |2 rdamedia 
338 |a Band  |b nc  |2 rdacarrier 
500 |a Date Completed 17.07.2003 
500 |a Date Revised 14.08.2008 
500 |a published: Print 
500 |a Citation Status MEDLINE 
520 |a An ab initio method has been developed to predict helix formation for polypeptides. The approach relies on the systematic analysis of overlapping oligopeptides to determine the helical propensity for individual residues. Detailed atomistic level modeling, including entropic contributions, and solvation/ionization energies calculated through the solution of the Poisson-Boltzmann equation, is utilized. The calculation of probabilities for helix formation is based on the generation of ensembles of low energy conformers. The approach, which is easily amenable to parallelization, is shown to perform very well for several benchmark polypeptide systems, including the bovine pancreatic trypsin inhibitor, the immunoglobulin binding domain of protein G, the chymotrypsin inhibitor 2, the R69 N-terminal domain of phage 434 repressor, and the wheat germ agglutinin 
650 4 |a Journal Article 
650 4 |a Research Support, U.S. Gov't, Non-P.H.S. 
650 4 |a Research Support, U.S. Gov't, P.H.S. 
650 7 |a DNA-Binding Proteins  |2 NLM 
650 7 |a G-substrate  |2 NLM 
650 7 |a Nerve Tissue Proteins  |2 NLM 
650 7 |a Peptides  |2 NLM 
650 7 |a Plant Proteins  |2 NLM 
650 7 |a Repressor Proteins  |2 NLM 
650 7 |a Viral Proteins  |2 NLM 
650 7 |a Viral Regulatory and Accessory Proteins  |2 NLM 
650 7 |a Wheat Germ Agglutinins  |2 NLM 
650 7 |a chymotrypsin inhibitor 2  |2 NLM 
650 7 |a phage repressor proteins  |2 NLM 
650 7 |a Aprotinin  |2 NLM 
650 7 |a 9087-70-1  |2 NLM 
700 1 |a Floudas, C A  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t Journal of computational chemistry  |d 1984  |g 23(2002), 2 vom: 30. Jan., Seite 245-66  |w (DE-627)NLM098138448  |x 1096-987X  |7 nnns 
773 1 8 |g volume:23  |g year:2002  |g number:2  |g day:30  |g month:01  |g pages:245-66 
912 |a GBV_USEFLAG_A 
912 |a SYSFLAG_A 
912 |a GBV_NLM 
912 |a GBV_ILN_350 
951 |a AR 
952 |d 23  |j 2002  |e 2  |b 30  |c 01  |h 245-66