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Biomedical subjects

Nicholas Furnham

Publications and source records attributed to Nicholas Furnham.

5 recordsLinked to original sources
PubMed2006

Conformer generation under restraints.

Conformational sampling by direct optimization of an all-atom energy function is ineffective and inefficient because of the ruggedness of the energy landscape. Discrete sampling schemes represent an attractive alternative for generating ensembles of conformers consistent with spatial restraints derived from empirical data. Conformational sampling is becoming increasingly important for structure prediction as the bottleneck in accurate prediction shifts from energy functions to the methods used to find low-energy conformers. Experimental structure determination remains a perennial challenge as investigators tackle larger macromolecular systems, and begin to incorporate more complete descriptions of uncertainty, heterogeneity and dynamics into their models. Computational approaches that combine dense, discrete sampling with all-atom energy evaluation and refinement may help to overcome the remaining barriers to solving these problems.

Algorithms↗
PubMed2006

Structure of an Xrcc4-DNA ligase IV yeast ortholog complex reveals a novel BRCT interaction mode.

DNA ligase IV catalyses the final ligation step in the non-homologous end-joining (NHEJ) DNA repair pathway and requires interaction of the ligase with the Xrcc4 'genome-guardian', an essential NHEJ factor. Here we report the 3.9 A crystal structure of the Saccharomyces cerevisiae Xrcc4 ortholog ligase interacting factor 1 (Lif1p) complexed with the C-terminal BRCT domains of DNA ligase IV (Lig4p). The structure reveals a novel mode of protein recognition by a tandem BRCT repeat, and in addition provides a molecular basis for a human LIG4 syndrome clinical condition.

Amino Acid Sequence↗
PubMed2006

Knowledge-based real-space explorations for low-resolution structure determination.

The accurate and effective interpretation of low-resolution data in X-ray crystallography is becoming increasingly important as structural initiatives turn toward large multiprotein complexes. Substantial challenges remain due to the poor information content and ambiguity in the interpretation of electron density maps at low resolution. Here, we describe a semiautomated procedure that employs a restraint-based conformational search algorithm, RAPPER, to produce a starting model for the structure determination of ligase interacting factor 1 in complex with a fragment of DNA ligase IV at low resolution. The combined use of experimental data and a priori knowledge of protein structure enabled us not only to generate an all-atom model but also to reaffirm the inferred sequence registry. This approach provides a means to extract quickly from experimental data useful information that would otherwise be discarded and to take into account the uncertainty in the interpretation--an overriding issue for low-resolution data.

Algorithms↗
PubMed2004

Splice variants: a homology modeling approach.

Splice variants play an important role within the cell in both increasing the proteome diversity and in cellular function. Splice variants are also associated with disease states and may play a role in their etiology. Information about splice variants has, until now, mostly been derived from the primary transcript or through cellular studies. In this study information from the transcript and other studies is combined with tertiary structure information derived from homology models. Through this method we have determined that it is possible to effectively model splice variants. Forty models of splice variants for fourteen proteins were produced. Analysis of the models shows that deletions produce superior model validation values. Additions to sequences where there is little homology become increasingly difficult to model with increasing sequence length. Many of the splicing events are associated with post-translational modification either in the N-terminal region by changing the signal peptide or by affecting the number or availability of glycosylation sites. Often the alternative exon combinations are associated with loss or gain of whole structural units, as opposed to just changing small loop regions. Losing part of the secondary structure may destabilize neighboring parts of the same secondary structure. Detailed analysis is given of four biomedically relevant proteins (Beta-site Amyloid Precursor Protein Cleaving enzyme (BACE), Interleukin-4, Frataxin and Hereditary hemochromatosis protein) and their associated splice variant models. The visualization of these possible structures provides new insights about their functionality and the possible etiology of associated diseases.

Alternative Splicing↗