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Volumn 21, Issue 8, 2011, Pages 2515-2520

Virtual screening-driven identification of human carbonic anhydrase inhibitors incorporating an original, new pharmacophore

Author keywords

CA inhibitors; Human carbonic anhydrase; Virtual screening

Indexed keywords

ACETAZOLAMIDE; ACETONE; CARBONATE DEHYDRATASE; CARBONATE DEHYDRATASE I; CARBONATE DEHYDRATASE II; CARBONATE DEHYDRATASE INHIBITOR; FLUORINE DERIVATIVE; LIGAND; SULFONAMIDE;

EID: 84944964274     PISSN: 0960894X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.bmcl.2011.02.059     Document Type: Article
Times cited : (9)

References (33)
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    • J. Alvarez, B. Shoichet, Virtual Screening in Drug Discovery 2005 CRC Press Boca Raton, Florida, USA
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    • note
    • -10 M. The solvent was removed and the receptor sequences were aligned and superimposed considering the binding pockets residues (RMSD = 0.25). The pharmacophore model was created using the PPCH-ALL (Planar-Polarity-Charge-Hydrophobicity) scheme. Consensus parameters: Tolerance = 1.1; Threshold = 50%. As spatial constraints were created a volume exclusion feature using the binding pocket of pdb 2NNO complex.
  • 21
    • 85043080901 scopus 로고    scopus 로고
    • note
    • Virtual screening procedures. The ZINC lead-like database was washed using the appropriate function implemented in MOE. Next, the database compounds were filtered with the docking function of MOE (parameters: derived four-point pharmacophore; Placement = Alpha Triangle; Rescoring = London dG). The hits were partitioned into two different databases (containing and non-containing sulfo groups). The structures without S groups were filtered by FlexX docking program (all parameters were kept as default).
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    • FlexX 3.0. BioSolveIT GmbH, Sankt Augustin, Germany
    • FlexX 3.0. BioSolveIT GmbH, Sankt Augustin, Germany. http://www. biosolveit.de.
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    • note
    • 26 Mass-centered grid maps were generated with 80 grid points for every direction and with 0.375 Angstroms spacing by the AutoGrid program for the whole protein target. Random starting position on the entire protein surface, random orientations and torsions were used for the ligands. The distance-dependent dielectric permittivity of Mehler and Solmajer was used for the calculation of the electrostatic grid-maps. One hundred independent docking runs were carried out for each ligand. The cluster analyses were computed with a cluster tolerance by less than 1.5 in positional root-mean-square deviation with AutoDock Tools.
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    • note
    • 8 represent the means from at least three different determinations.
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    • Columbia University: New York, USA
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.