Biomedical subjects

Somsak Tonmunphean

Publications and source records attributed to Somsak Tonmunphean.

5 recordsLinked to original sources

PubMed2006

Three-dimensional quantitative structure: activity relationship studies on diverse structural classes of HIV-1 integrase inhibitors using CoMFA and CoMSIA.

Comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA), three-dimensional quantitative structure-activity relationship (3D-QSAR) techniques, were applied to a set of 89 HIV-1 integrase (IN) inhibitors (training set=61, test set=28), belonging to 11 structurally different classes. The biological data for 3' processing mechanism were used. For CoMFA calculations, three different fitting methods for alignment process were investigated. The best CoMFA model yielded the cross-validated r(2) r(2)(cv) =0.698 and the non-cross-validated r(2) (r(2))=0.947. The derived model indicated the importance of steric (60.8%) as well as electrostatic (39.2%) contributions. For CoMSIA calculations, different combinations of the fields were tested. The best CoMSIA model gave r(2)(cv) =0.724 and r(2)=0.864. This model showed that steric (30.3%), hydrogen bond donor (43.4%) and hydrogen bond acceptor (26.3%) properties played major roles in HIV-1 IN inhibition. The mapping of hydrogen bond interaction fields with the HIV-1 IN active site gave details on hydrogen bond forming between ligands and enzyme. These obtained results agree well with the experimental observations that there should be hydrogen bond interactions between ligands and Glu152, Lys156 and Lys159 residues. The results not only lead to a better understanding of structural requirements of HIV-1 IN inhibitors but also can help in the design of new IN inhibitors.

HIV Integrase Inhibitors↗

PubMed2006

Effective discrimination of antimalarial potency of artemisinin compounds based on quantum chemical calculations of their reaction mechanism.

The reaction mechanism of 12 antimalarial artemisinin compounds with two competitive pathways was studied by means of quantum chemical calculations using the IMOMO(B3LYP/6-31(d,p):HF/3-21G) method. The oxygen-centered radicals, carbon-centered radicals, and transition states (TS) in both pathways were geometrically optimized. The obtained kinetic and thermodynamic energy profiles show that homolytic C-C cleavage reaction (pathway 2) is energetically more preferable than an intramolecular 1,5-hydrogen shift process (pathway 1), which is consistent with the docking calculations. However, compounds that can easily proceed along the pathway 1 have high activity. Therefore, both pathways are important for antimalarial activity. Moreover, effective discrimination between high and low activity compounds using EA1, deltaE1, and deltaE(1A-2A) was accomplished.

Animals↗

PubMed2006

Structural and dynamical properties of a full-length HIV-1 integrase: molecular dynamics simulations.

The structural and dynamical properties of the complete full-length structure of HIV-1 integrase were investigated using Molecular Dynamics approach. Simulations were carried out for the three systems, core domain only (CORE), full-length structure without (FULL) and with a Mg2+ (FULL+ION) in its active site, aimed to investigate the difference in the molecular properties of the full-length models due to their different construction procedures as well as the effects of the two ends, C- and N-terminal, on those properties in the core domain. The full-length structure was prepared from the two experimental structures of two-domain fragment. The following properties were observed to differ significantly from the previous reports: (i) relative topology formed by an angle between the three domains; (ii) the cavity size defined by the catalytic triad, Asp64, Asp116, and Glu152; (iii) distances and solvation of the Mg2+; and (iv) conformation of the catalytic residues. In addition, the presence of the two terminal domains decreases the mobility of the central core domain significantly.

Binding Sites↗

PubMed2004

Influence of stereoisomer of dispiro-1,2,4,5-tetraoxanes on their binding mode with heme and on antimalarial activity: molecular docking studies.

Based on the fact that different isomers may exhibit substantial distinct activities, quantum chemical calculations and automated molecular docking simulations were carried out for 13 dispiro-1,2,4,5-tetraoxane compounds, which experimentally exist as a mixture of several isomers, to elucidate the most probable isomer(s) responsible for their antimalarial activity. The results indicate significant effects of stereoisomer on the binding mode and the activity. Moreover, the antimalarial potency of each compound can be described by the docking results. Compounds 1, 2, 4, 5, 7, and 9 have the most probable isomers coordinate suitably with heme iron and hence they have high activities while the most probable isomer in compounds 3 and 8 could not bind appropriately to heme yielding only moderate activities. On the other hand, the steric hindrance in compounds 11-13 prevents an approach of heme iron to peroxide bonds resulting in a devoid of antimalarial activity. However, compounds 6 and 10 with isopropyl substituents exhibit a different docking character, which is possibly caused by a limitation in molecular flexibility of the available docking technique. Our results can be used as a guideline for stereochemical control in synthesis process to improve drug's potency.

Animals↗

PubMed2003

3D-QSAR studies on natural acetylcholinesterase inhibitors of Sarcococca saligna by comparative molecular field analysis (CoMFA).

We have derived a comprehensive structure-activity relationship (SAR) picture for a new series of natural acetylcholinesterase inhibitors isolated from Sarcococca saligna. A set of 32 previously isolated and tested pregnane-type steroidal alkaloids inhibitors were investigated with respect to their IC(50) values (pIC(50)) against the AChE enzyme in order to derive CoMFA models using atom-based alignment. A highly significant CoMFA model was obtained with r(2) value of 0.974. The q(2) (cross validation r(2)) value also confirms the statistical significance of our model.

Acetylcholinesterase↗