BioInformatics

Larial provides upstream and downstream bioinformatics support for various client projects. Depending on the exact sequence of events called for in a particular scientific algorithm it may be necessary to obtain structural information on a particular protein target prior to undertaking experimental work. Genetic information may be all that is available prior to initiation of a projected designed to deduce a particular protein's function or structure. Psi blasting and subsequent homology modelling of aligned sequences is often the only possible route towards assembling a putative protein structure that can be tested experimentally. Similarly, hydropathy analysis of membrane protein sequences provides some limited predictive knowledge of possible topologies for ion channels, transporters, receptors etc. Such information can be helpful in strategizing experimental programs focused on construction of synthetic peptide immunogens or site-directed mutagenesis studies that are designed to assess the functional roles of different membrane protein domains. Predictions of protein conformational states or the interaction of specific domains within or between homologous/heterologous subunits is another valuable asset that helps support experimental design and testing.

It may also be necessary to deploy bioinformatics tools in order to fit experimental datasets into revised predictions of protein structure. This is often the case when entries are already available within the structural database but experimental data suggests alternative protein conformations may be possible. For example it is often necessary to remodel protein structures once mutational changes have occurred or chimeric proteins have been assembled. This so called "downstream" bioinformatics support often provides private sector clients with additional IP to strengthen patent claims and academic clients with more compelling evidence to support early stage discoveries and scientific publications.