Knowledge-based computational methods for identifying or designing novel, non-homologous antimicrobial peptides.

We describe computational approaches for identifying promising lead candidates for the development of peptide antibiotics, in the context of quantitative structure-activity relationships (QSAR) studies for this type of molecule. A first approach deals with predicting the selectivity properties of generated antimicrobial peptide sequences in terms of measured therapeutic indices (TI) for known antimicrobial peptides (AMPs). Based on a training set of anuran AMPs, the concept of sequence moments was used to construct algorithms that could predict TIs for a second test set of natural AMPs and could also predict the effect of point mutations on TI values. This approach was then used to design peptide antibiotics (adepantins) not homologous to known natural or synthetic AMPs. In a second approach, many novel putative AMPs were identified from DNA sequences in EST databases, using the observation that, as a rule, specific subclasses of highly conserved signal peptides are associated exclusively with AMPs. Both anuran and teleost sequences were used to elucidate this observation and its implications. The predicted therapeutic indices of identified sequences could then be used to identify new types of selective putative AMPs for future experimental verification

Ancient Gene Duplication Provided a Key Molecular Step for Anaerobic Growth of Baker's Yeast

Mitochondria are essential organelles required for a number of key cellular processes. As most mitochondrial proteins are nuclear encoded, their efficient translocation into the organelle is critical. Transport of proteins across the inner membrane is driven by a multicomponent, matrix-localized “import motor,” which is based on the activity of the molecular chaperone Hsp70 and a J-protein cochaperone. In Saccharomyces cerevisiae, two paralogous J-proteins, Pam18 and Mdj2, can form the import motor. Both contain transmembrane and matrix domains, with Pam18 having an additional intermembrane space (IMS) domain. Evolutionary analyses revealed that the origin of the IMS domain of S. cerevisiae Pam18 coincides with a gene duplication event that generated the PAM18/MDJ2 gene pair. The duplication event and origin of the Pam18 IMS domain occurred at the relatively ancient divergence of the fungal subphylum Saccharomycotina. The timing of the duplication event also corresponds with a number of additional functional changes related to mitochondrial function and respiration. Physiological and genetic studies revealed that the IMS domain of Pam18 is required for efficient growth under anaerobic conditions, even though it is dispensable when oxygen is present. Thus, the gene duplication was beneficial for growth capacity under particular environmental conditions as well as diversification of the import motor components