Biomedical subjects
Publications and source records attributed to D B Kitchen.
Molecular similarity and diversity analysis has played a significant role in computer-aided drug discovery for more than a decade. Compound classification methods have also become increasingly important for the design and organization of compound databases and in silico screening. Here we review these related methodologies and discuss selected applications.
Peptides derived from various regions of type V adenylyl cyclase (AC) were studied to determine their effect on AC catalytic activity. Out of 10 examined, only one peptide, peptide 2 (Lys425-Cys444), significantly inhibited both basal and stimulated (forskolin or GTP gamma S (guanosine 5'-O-thiotriphosphate)) type V AC catalytic activity overexpressed in CMT cells. The sequence of this peptide was taken from the first cytoplasmic domain of type V AC, which has a high sequence homology to other AC isoforms. Competition studies performed between the peptide and the substrate ATP showed that the inhibition was noncompetitive. Mutation or truncation of the peptide designed to destroy its secondary structure totally negated the inhibitory effect. This peptide also inhibited the catalytic activity of purified types II and V AC, as well as that of various cells, including S49 cyc- cells. Our data indicate that the peptide directly interacts with AC to inhibit catalytic activity; this provides new information regarding regions of the enzyme involved in its catalytic activation.
We have completed a molecular dynamics simulation of protein (bovine pancreatic trypsin inhibitor, BPTI) in solution at high pressure (10 kbar). The structural and energetic effects of the application of high pressure to solvated protein are analyzed by comparing the results of the high-pressure simulation with a corresponding simulation at low pressure. The volume of the simulation cell containing one protein molecule plus 2943 water molecules decreases by 24.7% at high pressure. This corresponds to a compressibility for the protein solution of beta = 1.8 x 10(-2) kbar-1. The compressibility of the protein is estimated to be about one-tenth that of bulk water, while the protein hydration layer water is found to have a greater compressibility as compared to the bulk, especially for water associated with hydrophobic groups. The radius of gyration of BPTI decreases by 2% and there is a one third decrease in the protein backbone atomic fluctuations at high pressure. We have analyzed pressure effects on the hydration energy of the protein. The total hydration energy is slightly (4%) more favorable at high pressure even though the surface accessibility of the protein has decreased by a corresponding amount. Large pressure-induced changes in the structure of the hydration shell are observed. Overall, the solvation shell waters appear more ordered at high pressure; the pressure-induced ordering is greatest for nonpolar surface groups. We do not observe evidence of pressure-induced unfolding of the protein over the 100-ps duration of the high-pressure simulation. This is consistent with the results of high-pressure optical experiments on BPTI.(ABSTRACT TRUNCATED AT 250 WORDS)
Two-dimensional nuclear magnetic resonance (n.m.r.) spectroscopy and a variety of computational techniques have been used to generate three-dimensional structures of the two DNA duplexes d(CGCCTAATCG) and d(CGTCACGCGC). The central six base-pairs in these two decamers contain all ten dinucleotide pairs in DNA and thus, represent a model system for investigating how the local structure of DNA varies with base sequence. Resonance assignments were made for the non-exchangeable base protons and most of the C-1'-C-4' sugar protons in both decamers. Three-dimensional structures were generated using a distance geometry algorithm and these initial structures were refined by optimizing the fit of back-calculated spectra against the experimental two-dimensional nuclear Overhauser effect (NOE) spectra. This back-calculation procedure consists of calculating NOE cross relaxation rates for a given structure by solution of the Bloch equations, and directly accounts for spin diffusion effects. Use of this refinement procedure eliminates some assumptions that have been invoked when generating structures of DNA oligomers from n.m.r. data. Constrained energy minimization and constrained quenched molecular dynamics calculation were also performed on both decamers to help generate energetically favorable structures consistent with the experimental data. Analysis of the local conformational parameters of helical twist, helical rise, propeller twist, displacement and the alpha, beta, gamma, epison and zeta backbone torsion angles in these structures shows that these parameters span a large range of values relative to the X-ray data of nucleic acids. However, the glycosidic and pseudorotation angles are quite well defined in these structures. The implications that these results have for determination of local structural variations of DNA in solution, such as those predicted by Callidine's rules, are discussed. Our results differ significantly from some previous studies on determining local conformations of nucleic acids and comparisons with these studies are made.
The structure of neutrophil peptide 5 in solution has recently been reported (Pardi et al., 1988). The structure determination was accomplished by using a distance geometry algorithm and 107 interproton distance constraints obtained from 2D NMR data. In each of the eight independent solutions to the distance geometry equations, the overall fold of the polypeptide backbone was identical and the root mean square (rms) deviation between backbone atoms of the superimposed structures was small (approximately 2.4 A). In this paper we report additional NP-5 structures obtained by using a new structure generation algorithm: a Monte Carlo search in torsion angle space. These structures have a large rms backbone deviation from the distance geometry structures (approximately 5.0 A). The backbone topologies differ in significant respects from the distance geometry structures and from each other. Structures are found that are pseudo mirror images of part or all of the fold corresponding to that first obtained with the distance geometry procedure. For small proteins, the problem of distinguishing the correct structure among pseudo mirror images is likely to be greater than previously recognized. When a set of test distance constraints constructed from a novel Monte Carlo structure is used as input in the distance geometry algorithm, the fold of the resulting structure does not correspond to that of the target. The results also demonstrate that the previously accepted criteria (the magnitude of the rms deviation between multiple solutions of the distance geometry equations) for defining the accuracy and precision of a peptide structure generated from NMR data are inadequate. An energetic analysis of structures corresponding to the different folding topologies has been carried out. The molecular mechanics energies obtained by minimization and molecular dynamics refinement provide sufficient information to eliminate certain alternative structures. On the basis of a careful comparison of the different trial structures with the experimental data, it is concluded that the NP-5 peptide fold which was originally reported is most consistent with the data. An alternative fold corresponding to structures with low energies and small total distance violations is ruled out because for this fold predicted NOEs are not observed experimentally.