Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT

Freigegeben

Zeitschriftenartikel

Predominant Information Quality Scheme for the Essential Amino Acids: An Information-Theoretical Analysis

MPG-Autoren
/persons/resource/persons126698

Kohout,  Miroslav
Miroslav Kohout, Chemical Metal Science, Max Planck Institute for Chemical Physics of Solids, Max Planck Society;

Externe Ressourcen
Es sind keine externen Ressourcen hinterlegt
Volltexte (beschränkter Zugriff)
Für Ihren IP-Bereich sind aktuell keine Volltexte freigegeben.
Volltexte (frei zugänglich)
Es sind keine frei zugänglichen Volltexte in PuRe verfügbar
Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
Zitation

Esquivel, R. O., Molina-Espíritu, M., López-Rosa, S., Soriano-Correa, C., Barrientos-Salcedo, C., Kohout, M., et al. (2015). Predominant Information Quality Scheme for the Essential Amino Acids: An Information-Theoretical Analysis. ChemPhysChem, 16(12), 2571-2581. doi:10.1002/cphc.201500282.


Zitierlink: https://hdl.handle.net/11858/00-001M-0000-0028-55D0-2
Zusammenfassung
In this work we undertake a pioneer information-theoretical analysis of 18 selected amino acids extracted from a natural protein, bacteriorhodopsin (1C3W). The conformational structures of each amino acid are analyzed by use of various quantum chemistry methodologies at high levels of theory: HF, M062X and CISD(Full). The Shannon entropy, Fisher information and disequilibrium are determined to grasp the spatial spreading features of delocalizability, order and uniformity of the optimized structures. These three entropic measures uniquely characterize all amino acids through a predominant information-theoretic quality scheme (PIQS), which gathers all chemical families by means of three major spreading features: delocalization, narrowness and uniformity. This scheme recognizes four major chemical families: aliphatic (delocalized), aromatic (delocalized), electro-attractive (narrowed) and tiny (uniform). All chemical families recognized by the existing energy-based classifications are embraced by this entropic scheme. Finally, novel chemical patterns are shown in the information planes associated with the PIQS entropic measures.