Literature DB >> 16741831

Active site acidic residues and structural analysis of modelled human aromatase: a potential drug target for breast cancer.

J Narashima Murthy1, M Nagaraju, G Madhavi Sastry, A Raghuram Rao, G Narahari Sastry.   

Abstract

This study sheds new light on the role of acidic residues present in the active site cavity of human aromatase. Eight acidic residues (E129, D222, E245, E302, D309, E379, D380 and D476) lining the cavity are identified and studied using comparative modeling, docking, molecular dynamics as well as statistical techniques. The structural environment of these acidic residues is studied to assess the stability of the corresponding carboxylate anions. Results indicate that the environment of the residues E245, E302 and D222 is most suitable for carboxylate ion formation in the uncomplexed form. However, the stability of D309, D222 and D476 anions is seen to increase on complexation to steroidal substrates. In particular, the interaction between D309 and T310, which assists proton transfer, is found to be formed following androgen/nor-androgen complexation. The residue D309 is found to be clamped in the presence of substrate which is not observed in the case of the other residues although they exhibit changes in properties following substrate binding. Information entropic analysis indicates that the residues D309, D222 and D476 have more conformational flexibility compared to E302 and E245 prior to substrate binding. Interaction similar to that between D476 and D309, which is expected to assist androgen aromatization, is proposed between E302 and E245. The inhibition of aromatase activity by 4-hydroxy androstenedione (formestane) is attributed to a critical hydrogen bond formation between the hydroxy moiety and T310/D309 as well as the large distance from D476. The results corroborate well with earlier site directed mutagenesis studies.

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Year:  2006        PMID: 16741831     DOI: 10.1007/s10822-005-9024-0

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  31 in total

1.  Protein secondary structure prediction based on position-specific scoring matrices.

Authors:  D T Jones
Journal:  J Mol Biol       Date:  1999-09-17       Impact factor: 5.469

Review 2.  What are the dielectric "constants" of proteins and how to validate electrostatic models?

Authors:  C N Schutz; A Warshel
Journal:  Proteins       Date:  2001-09-01

Review 3.  Mechanism of oxidation reactions catalyzed by cytochrome p450 enzymes.

Authors:  Bernard Meunier; Samuël P de Visser; Sason Shaik
Journal:  Chem Rev       Date:  2004-09       Impact factor: 60.622

4.  A three-dimensional model of aromatase cytochrome P450.

Authors:  S Graham-Lorence; B Amarneh; R E White; J A Peterson; E R Simpson
Journal:  Protein Sci       Date:  1995-06       Impact factor: 6.725

Review 5.  Calculations of electrostatic interactions in biological systems and in solutions.

Authors:  A Warshel; S T Russell
Journal:  Q Rev Biophys       Date:  1984-08       Impact factor: 5.318

6.  The impact of aromatase mechanism on other P450s.

Authors:  M Akhtar; P Lee-Robichaud; M E Akhtar; J N Wright
Journal:  J Steroid Biochem Mol Biol       Date:  1997-04       Impact factor: 4.292

7.  Kinetic properties of aromatase mutants Pro308Phe, Asp309Asn, and Asp309Ala and their interactions with aromatase inhibitors.

Authors:  N Kadohama; C Yarborough; D Zhou; S Chen; Y Osawa
Journal:  J Steroid Biochem Mol Biol       Date:  1992-12       Impact factor: 4.292

8.  A detailed molecular model for human aromatase.

Authors:  C A Laughton; M J Zvelebil; S Neidle
Journal:  J Steroid Biochem Mol Biol       Date:  1993-03       Impact factor: 4.292

9.  A site-directed mutagenesis study of human placental aromatase.

Authors:  D J Zhou; K R Korzekwa; T Poulos; S A Chen
Journal:  J Biol Chem       Date:  1992-01-15       Impact factor: 5.157

Review 10.  Genotoxic metabolites of estradiol in breast: potential mechanism of estradiol induced carcinogenesis.

Authors:  W Yue; R J Santen; J-P Wang; Y Li; M F Verderame; W P Bocchinfuso; K S Korach; P Devanesan; R Todorovic; E G Rogan; E L Cavalieri
Journal:  J Steroid Biochem Mol Biol       Date:  2003-09       Impact factor: 4.292

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  2 in total

1.  FDA approved drugs complexed to their targets: evaluating pose prediction accuracy of docking protocols.

Authors:  Mohammed H Bohari; G Narahari Sastry
Journal:  J Mol Model       Date:  2012-05-08       Impact factor: 1.810

2.  Docking and 3D-QSAR studies of diverse classes of human aromatase (CYP19) inhibitors.

Authors:  Partha Pratim Roy; Kunal Roy
Journal:  J Mol Model       Date:  2010-03-01       Impact factor: 1.810

  2 in total

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