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Patrick Bultinck

Publications and source records attributed to Patrick Bultinck.

6 recordsLinked to original sources

Role of solution conformation and flexibility of short peptide ligands that bind to the p56(lck) SH2 domain.

A general approach in drug design is making ligands more rigid in order to avoid loss in conformational entropy (deltaS(conf)) upon receptor binding. We hypothesized that in the high affinity binding of pYEEI peptide ligands to the p56(lck) SH2 domain this loss in deltaS(conf) might be diminished due to preorganization of the fourfold negatively charged pYEEI peptide in the bound, extended, conformation. A thermodynamic analysis was performed on the peptides Ac-pYEEI-NH(2), Ac-pYAAI-NH(2) and Ac-pYGGI-NH(2) using surface plasmon resonance (SPR) competition experiments to assay affinity constants at different temperatures. To study the effect of solution conformation and flexibility a computational conformation analysis was performed from which low energy conformations in solution were calculated, and S(conf) estimated. It was found that the calculated low energy conformations for especially the pYE moiety in solution resemble that in the bound state. In the calculated minimum energy conformation in solution isoleucine is bent towards the pY aromatic ring, the occurrence of such conformation is experimentally confirmed by NMR. The estimated values for S(conf) of the EE- and AA-peptide were similar, suggesting no predominant role of preorganization of the solution conformation due to electrostatic repulsion. Apparently the thermodynamics obey the same entropy-enthalpy compensation relationship, which also was found to hold for other peptides and peptidomimetics binding to p60(src) family SH2 domains. The implications of the results for drug design are discussed.

Ligands↗

Generate: a program for 3-D structure generation and conformational analysis of peptides and peptidomimetics.

The program Generate, aimed at generating 3-D structures for peptides and peptidomimetics, is presented. The algorithm is based on a build-up procedure, using a library of conformations of amino acid residues. This library is built from conformational analysis of amino acids placed in a di- or tripeptide environment to mimic the surroundings of the amino acid in a true peptide, considering different positions of the residue in the peptide chain (peptidyl fragment, NH(+)(3)-terminus or COO(-)-terminus). Cis-trans isomerism in the amide bonds is taken into account by construction of rotamer libraries for different isomers. Water solvation is included through the GB/SA model. New amino acid residues can easily be added to the libraries, making it possible to generate conformations of peptidomimetics.

Amino Acid Sequence↗

Fast calculation of quantum chemical molecular descriptors from the electronegativity equalization method.

The use of the Electronegativity Equalization Method (EEM) is presented for high performance calculation of molecular electrostatic descriptors, giving quite similar results to those obtained through Density Functional Theory (B3LYP/6-31G*) calculations. Molecular descriptors include atomic charges and different related descriptors as well as Fukui functions, hardness and softness.

Journal Article↗

Quantum similarity superposition algorithm (QSSA): a consistent scheme for molecular alignment and molecular similarity based on quantum chemistry.

The use of the molecular quantum similarity overlap measure for molecular alignment is investigated. A new algorithm is presented, the quantum similarity superposition algorithm (QSSA), expressing the relative positions of two molecules in terms of mutual translation in three Cartesian directions and three Euler angles. The quantum similarity overlap is then used to optimize the mutual positions of the molecules. A comparison is made with TGSA, a topogeometrical approach, and the influence of differences on molecular clustering is discussed.

Aldosterone↗

Quality of approximate electron densities and internal consistency of molecular alignment algorithms in molecular quantum similarity.

The calculation of molecular quantum similarity measures using the molecular electron density requires the electron density and molecular alignment between two molecules. To obtain meaningful quantum similarity matrices, the electron density should be calculated efficiently and accurately and the alignment should be internally consistent. The internal consistency of the alignment for a series of molecules is investigated through distance geometry concepts. The calculation of the quantum similarity matrix requires the calculation of a quadratic number of similarity integrals, and a scheme to obtain these efficiently is developed. Both the alignment procedure and the ASA method for approximate molecular electron densities are tested for a set of steroid molecules.

Journal Article↗