Biomedical subjects

Finton Sirockin

Publications and source records attributed to Finton Sirockin.

3 recordsLinked to original sources

PubMed2005

Magnetic effects of disulfide bridges: a density functional and semiempirical study.

Density functional chemical shielding calculations are reported for methane and hydrogen disulfide dimers. The calculations show that the contributions of disulfide bridges to the chemical shielding of neighboring protons is sizable at distances that are frequently sampled in protein structures. A semiempirical model of the quantum chemical data is developed. It is shown that magnetic anisotropy effects of disulfide are poorly described by the McConnell equation, both qualitatively and quantitatively. In particular, the ratio of magnetic anisotropy contributions to shielding along and perpendicular to the magnetic anisotropy principal axis do not conform to the predictions of the McConnell equation, and magnetic anisotropy effects are not null along the magic angle axis. A sulfur-based model of the magnetic anisotropy of the disulfide is developed and shown to give much better agreement with the quantum chemical data.

Anisotropy↗

PubMed2004

Functionality maps of the ATP binding site of DNA gyrase B: generation of a consensus model of ligand binding.

The Multiple Copy Simultaneous Search method (MCSS) was used to construct consensus functionality maps for functional group binding in the ATP binding site of DNA gyrase B. To account for the conformational flexibility of the protein active site, which involves small side chain fluctuations as well as large-scale loop motions, the calculations were done for three different conformations of the 24 kDa subdomain of DNA gyrase B. A postprocessing procedure that employs a continuum dielectric model to include solvent effects was used to calculate the binding free energy for every functional group. These results were ranked according to their affinity for DNA gyrase B and clustered using a new procedure based on van der Waals contacts that is better adapted for cases where multiple conformations are being considered. A total of 23 different functional groups were tested. The results gave consensus maps that indicate those functional group binding sites that are insensitive to the specific protein conformation. The maps also demonstrate that functional groups other than those found in the known ligands may bind competitively in the binding sites of known ligands. This suggests numerous scaffolds that can be used in the development of new ligands for the ATP and coumarinic binding sites in DNA gyrase B. Finally, the calculations show the existence of alternative binding sites near the known binding sites that could be targeted in the rational design for new inhibitors.

Adenosine Triphosphate↗

PubMed2002

Structure activity relationship by NMR and by computer: a comparative study.

There has recently been considerable interest in using NMR spectroscopy to identify ligand binding sites of macromolecules. In particular, a modular approach has been put forward by Fesik et al. (Shuker, S. B.; Hajduk, P. J.; Meadows, R. P.; Fesik, S. W. Science 1996, 274, 1531-1534) in which small ligands that bind to a particular target are identified in a first round of screening and subsequently linked together to form ligands of higher affinity. Similar strategies have also been proposed for in silico drug design, where the binding sites of small chemical groups are identified, and complete ligands are subsequently assembled from different groups that have favorable interactions with the macromolecular target. In this paper, we compare experimental and computational results on a selected target (FKBP12). The binding sites of three small ligands ((2S)1-acetylprolinemethylester, 1-formylpiperidine, 1-piperidinecarboxamide) in FKBP12 were identified independently by NMR and by computational methods. The subsequent comparison of the experimental and computational data showed that the computational method identified and ranked favorably ligand positions that satisfy the experimental NOE constraints.

Binding Sites↗