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Classification of auxin plant hormones by interaction property similarity indices.


Tomić, Sanja; Gabdoulline, Razif R.; Kojić-Prodić, Biserka; Wade, Rebecca C.
Classification of auxin plant hormones by interaction property similarity indices. // Journal of computer-aided molecular design, 12 (1998), 63-79 (međunarodna recenzija, članak, znanstveni)


Naslov
Classification of auxin plant hormones by interaction property similarity indices.

Autori
Tomić, Sanja ; Gabdoulline, Razif R. ; Kojić-Prodić, Biserka ; Wade, Rebecca C.

Izvornik
Journal of computer-aided molecular design (0920-654X) 12 (1998); 63-79

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Auxins; molecular alignment; molecular interaction field; molecular modeling; QSAR; similarity index

Sažetak
Although auxins were the first type of plant hormone to be identified, little is known about the molecular mechanism of this important class of plant hormones. We present a classification of a set of about 50 compounds with measured auxin activities, according to their interaction properties. Four classes of compounds were defined: strongly active, weakly active with weak antiauxin behaviour, inactive and inhibitory. All compounds were modeled in two low energy conformations, "P" and "T", so as to obtain the best match to the "planar" and "tilted" conformations, respectively, of indole 3-acetic acid. Each set of conformers was superimposed separately using several different alignment schemes. Molecular interaction energy fields were computed for each molecule with 5 different chemical probes and then compared by computing similarity indices. Similarity analysis showed that the classes are on average distinguishable, with better differentiation achieved for the "T" conformers than the "P" conformers. This indicates that the "T" conformation might be the active one. Further, a screening was developed which could distinguish compounds with auxin activity from inactive compounds and most antiauxins using the "T" conformers. The classifications rationalize ambiguities in activity data found in the literature and should be of value in predicting the activities of new plant growth substances and herbicides.

Izvorni jezik
Engleski

Znanstvena područja
Kemija



POVEZANOST RADA


Projekt / tema
00980608

Ustanove
Institut "Ruđer Bošković", Zagreb

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE