Biomedical subjects

M J Bower

Publications and source records attributed to M J Bower.

3 recordsLinked to original sources

PubMed1998

Acquisition of sensitivity of stress-activated protein kinases to the p38 inhibitor, SB 203580, by alteration of one or more amino acids within the ATP binding pocket.

Pyridinyl imidazole inhibitors of p38 mitogen-activated protein kinase compete with ATP for binding. Mutation of 23 residues in the ATP pocket indicated that several residues which affected binding of pyridinyl imidazole photoaffinity cross-linker 125I-SB 206718 did not affect kinase activity, and vice versa, suggesting that pyridinyl imidazoles bind p38 differently than ATP. Two close homologues of p38, SAPK3 and SAPK4, are not inhibited by SB 203580 and differ from p38 by three amino acids near the hinge of the ATP pocket. Substitution of the three amino acids in p38 by those in SAPK3/4 (Thr-106, His-107, and Leu-108 to Met, Pro, and Phe) resulted in decreased 125I-SB 206718 cross-linking and loss of inhibition by SB 203580. Substitution of just Thr-106 by Met resulted in incomplete loss of inhibition. Conversely, substitution of the three amino acids of p38 into SAPK3, SAPK4, or the more distantly related JNK1 resulted in inhibition by SB 203580, whereas mutation of just Met-106 to Thr resulted in weaker inhibition. These results indicate that these three amino acids can confer specificity and sensitivity to SB 203580 for at least two different classes of MAPKs.

Adenosine Triphosphate↗

PubMed1997

Prediction of protein side-chain rotamers from a backbone-dependent rotamer library: a new homology modeling tool.

Modeling by homology is the most accurate computational method for translating an amino acid sequence into a protein structure. Homology modeling can be divided into two sub-problems, placing the polypeptide backbone and adding side-chains. We present a method for rapidly predicting the conformations of protein side-chains, starting from main-chain coordinates alone. The method involves using fewer than ten rotamers per residue from a backbone-dependent rotamer library and a search to remove steric conflicts. The method is initially tested on 299 high resolution crystal structures by rebuilding side-chains onto the experimentally determined backbone structures. A total of 77% of chi1 and 66% of chi(1 + 2) dihedral angles are predicted within 40 degrees of their crystal structure values. We then tested the method on the entire database of known structures in the Protein Data Bank. The predictive accuracy of the algorithm was strongly correlated with the resolution of the structures. In an effort to simulate a realistic homology modeling problem, 9424 homology models were created using three different modeling strategies. For prediction purposes, pairs of structures were identified which shared between 30% and 90% sequence identity. One strategy results in 82% of chi1 and 72% chi(1 + 2) dihedral angles predicted within 40 degrees of the target crystal structure values, suggesting that movements of the backbone associated with this degree of sequence identity are not large enough to disrupt the predictive ability of our method for non-native backbones. These results compared favorably with existing methods over a comprehensive data set.

Algorithms↗

PubMed1997

Conformational analysis using distance geometry methods.

Distance geometry methods have been used extensively to build models of molecules of various sizes, including small molecules, peptides, and proteins. These methods are often overlooked as tools for conformational analysis, even though they often perform as well as other conformational sampling methods. We have implemented two new distance geometry approaches in the DGEOM95 package. In the first new method, the traditional embedding algorithm is replaced with a procedure that generates random 4D coordinates for each atom, followed by refinement of these coordinates into 3D using the distance geometry error function. The conformational sampling produced by this method is comparable to that obtained with partial metrization, and superior to that obtained with the original embedding procedure. In the second method, a molecular dynamics step is included in the refinement stage. Although this method can be applied to any embedding algorithm, substantial improvements in sampling are seen primarily with the original embedding algorithm.

Algorithms↗