Biomedical subjects

Thomas C Terwilliger

Publications and source records attributed to Thomas C Terwilliger.

11 recordsLinked to original sources

PubMed2003

Improving macromolecular atomic models at moderate resolution by automated iterative model building, statistical density modification and refinement.

An iterative process for improving the completeness and quality of atomic models automatically built at moderate resolution (up to about 2.8 A) is described. The process consists of cycles of model building interspersed with cycles of refinement and combining phase information from the model with experimental phase information (if any) using statistical density modification. The process can lead to substantial improvements in both the accuracy and completeness of the model compared with a single cycle of model building. For eight test cases solved by MAD or SAD at resolutions ranging from 2.0 to 2.8 A, the fraction of models built and assigned to sequence was 46-91% (mean of 65%) after the first cycle of building and refinement, and 78-95% (mean of 87%) after 20 cycles. In an additional test case, an incorrect model of gene 5 protein (PDB code 2gn5; r.m.s.d. of main-chain atoms from the more recent refined structure 1vqb at 1.56 A) was rebuilt using only structure-factor amplitude information at varying resolutions from 2.0 to 3.0 A. Rebuilding was effective at resolutions up to about 2.5 A. The resulting models had 60-80% of the residues built and an r.m.s.d. of main-chain atoms from the refined structure of 0.20 to 0.62 A. The algorithm is useful for building preliminary models of macromolecules suitable for an experienced crystallographer to extend, correct and fully refine.

Algorithms↗

PubMed2003

The crystal structure of the first enzyme in the pantothenate biosynthetic pathway, ketopantoate hydroxymethyltransferase, from M tuberculosis.

Ketopantoate hydroxymethyltransferase (KPHMT) catalyzes the first committed step in the biosynthesis of pantothenate, which is a precursor to coenzyme A and is required for penicillin biosynthesis. The crystal structure of KPHMT from Mycobacterium tuberculosis was determined by the single anomalous substitution (SAS) method at 2.8 A resolution. KPHMT adopts a structure that is a variation on the (beta/alpha) barrel fold, with a metal binding site proximal to the presumed catalytic site. The protein forms a decameric complex, with subunits in opposing pentameric rings held together by a swapping of their C-terminal alpha helices. The structure reveals KPHMT's membership in a small, recently discovered group of (beta/alpha) barrel enzymes that employ domain swapping to form a variety of oligomeric assemblies. The apparent conservation of certain detailed structural characteristics suggests that KPHMT is distantly related by divergent evolution to enzymes in unrelated pathways, including isocitrate lyase and phosphoenolpyruvate mutase.

Binding Sites↗

PubMed2002

Automated main-chain model building by template matching and iterative fragment extension.

An algorithm for the automated macromolecular model building of polypeptide backbones is described. The procedure is hierarchical. In the initial stages, many overlapping polypeptide fragments are built. In subsequent stages, the fragments are extended and then connected. Identification of the locations of helical and beta-strand regions is carried out by FFT-based template matching. Fragment libraries of helices and beta-strands from refined protein structures are then positioned at the potential locations of helices and strands and the longest segments that fit the electron-density map are chosen. The helices and strands are then extended using fragment libraries consisting of sequences three amino acids long derived from refined protein structures. The resulting segments of polypeptide chain are then connected by choosing those which overlap at two or more C(alpha) positions. The fully automated procedure has been implemented in RESOLVE and is capable of model building at resolutions as low as 3.5 A. The algorithm is useful for building a preliminary main-chain model that can serve as a basis for refinement and side-chain addition.

Algorithms↗

PubMed2002

Automated side-chain model building and sequence assignment by template matching.

An algorithm is described for automated building of side chains in an electron-density map once a main-chain model is built and for alignment of the protein sequence to the map. The procedure is based on a comparison of electron density at the expected side-chain positions with electron-density templates. The templates are constructed from average amino-acid side-chain densities in 574 refined protein structures. For each contiguous segment of main chain, a matrix with entries corresponding to an estimate of the probability that each of the 20 amino acids is located at each position of the main-chain model is obtained. The probability that this segment corresponds to each possible alignment with the sequence of the protein is estimated using a Bayesian approach and high-confidence matches are kept. Once side-chain identities are determined, the most probable rotamer for each side chain is built into the model. The automated procedure has been implemented in the RESOLVE software. Combined with automated main-chain model building, the procedure produces a preliminary model suitable for refinement and extension by an experienced crystallographer.

Algorithms↗

PubMed2002

Statistical density modification with non-crystallographic symmetry.

Statistical density modification is a technique for phase improvement through a calculation of the posterior probability of the phases, given experimental phase information and expectations about features of the electron-density map. The technique can take advantage of both estimates of electron density in the map and uncertainties or probability distributions for those estimates. For crystals with non-crystallographic symmetry (NCS), this allows the use of the expected similarity of electron density at NCS-related points without requiring an implicit assumption that these regions are identical.

Crystallography↗

PubMed2002

Rapid automatic NCS identification using heavy-atom substructures.

An important component of a fully automated system for structure solution and phase improvement through density modification is a capability for identification of non-crystallographic symmetry as early in the process as possible. Algorithms exist for finding NCS in heavy-atom sites, but currently require of the order of N(5) comparisons to be made, where N is the number of sites to be examined, including crystallographically related locations. A method described here based on considering only sets of sites that have common interatomic distances reduces the computational time by several orders of magnitude. Additionally, searches for proper symmetry allow the identification of NCS in cases where only one heavy atom is present per NCS copy.

Algorithms↗

PubMed2002

Automated structure solution, density modification and model building.

The approaches that form the basis of automated structure solution in SOLVE and RESOLVE are described. The use of a scoring scheme to convert decision making in macromolecular structure solution to an optimization problem has proven very useful and in many cases a single clear heavy-atom solution can be obtained and used for phasing. Statistical density modification is well suited to an automated approach to structure solution because the method is relatively insensitive to choices of numbers of cycles and solvent content. The detection of non-crystallographic symmetry (NCS) in heavy-atom sites and checking of potential NCS operations against the electron-density map has proven to be a reliable method for identification of NCS in most cases. Automated model building beginning with an FFT-based search for helices and sheets has been successful in automated model building for maps with resolutions as low as 3 A. The entire process can be carried out in a fully automatic fashion in many cases.

Algorithms↗

PubMed2002

PHENIX: building new software for automated crystallographic structure determination.

Structural genomics seeks to expand rapidly the number of protein structures in order to extract the maximum amount of information from genomic sequence databases. The advent of several large-scale projects worldwide leads to many new challenges in the field of crystallographic macromolecular structure determination. A novel software package called PHENIX (Python-based Hierarchical ENvironment for Integrated Xtallography) is therefore being developed. This new software will provide the necessary algorithms to proceed from reduced intensity data to a refined molecular model and to facilitate structure solution for both the novice and expert crystallographer.

Algorithms↗

PubMed2002

Engineering soluble proteins for structural genomics.

Structural genomics has the ambitious goal of delivering three-dimensional structural information on a genome-wide scale. Yet only a small fraction of natural proteins are suitable for structure determination because of bottlenecks such as poor expression, aggregation, and misfolding of proteins, and difficulties in solubilization and crystallization. We propose to overcome these bottlenecks by producing soluble, highly expressed proteins that are derived from and closely related to their natural homologs. Here we demonstrate the utility of this approach by using a green fluorescent protein (GFP) folding reporter assay to evolve an enzymatically active, soluble variant of a hyperthermophilic protein that is normally insoluble when expressed in Escherichia coli, and determining its structure by X-ray crystallography. Analysis of the structure provides insight into the substrate specificity of the enzyme and the improved solubility of the variant.

Evolution, Molecular↗

PubMed2002

Independent tyrosyl contributions to the CD of Ff gene 5 protein and the distinctive effects of Y41H and Y41F mutants on protein-protein cooperative interactions.

The gene 5 protein (g5p) of the Ff virus contains five Tyr, individual mutants of which have now all been characterized by CD spectroscopy. The protein has a dominant tyrosyl 229-nm L(a) CD band that is shown to be approximately the sum of the five individual Tyr contributions. Tyr41 is particularly important in contributing to the high cooperativity with which the g5p binds to ssDNA, and Y41F and Y41H mutants are known to differ in dimer-dimer packing interactions in crystal structures. We compared the solution structures and binding properties of the Y41F and Y41H mutants using CD spectroscopy. Secondary structures of the mutants were similar by CD analyses and close to those derived from the crystal structures. However, there were significant differences in the binding properties of the two mutant proteins. The Y41H protein had an especially low binding affinity and perturbed the spectrum of poly[d(A)] in 2 mM Na(+) much less than did Y41F and the wild-type gene 5 proteins. Moreover, a change in the Tyr 229 nm band, assigned to the perturbation of Tyr34 at the dimer-dimer interface, was absent in titrations with the Y41H mutant under low salt conditions. In contrast, titrations with the Y41H mutant in 50 mM Na(+) exhibited typical CD changes of both the nucleic acid and the Tyr 229-nm band. Thus, protein-protein and g5p-ssDNA interactions appeared to be mutually influenced by ionic strength, indicative of correlated changes in the ssDNA binding and cooperativity loops of the protein or of indirect structural constraints.

Amino Acid Substitution↗

PubMed2002

The TB structural genomics consortium: providing a structural foundation for drug discovery.

Structural genomics, the large-scale determination of protein structures, promises to provide a broad structural foundation for drug discovery. The tuberculosis (TB) Structural Genomics Consortium is devoted to encouraging, coordinating, and facilitating the determination of structures of proteins from Mycobacterium tuberculosis and hopes to determine 400 TB protein structures over 5 years. The Consortium has determined structures of 28 proteins from TB to date. These protein structures are already providing a basis for drug discovery efforts.

Acyltransferases↗