Computational design of a new hydrogen bond network and at least a 300-fold specificity switch at a protein-protein interface

The redesign of protein-protein interactions is a stringent test of our understanding of molecular recognition and specificity. Previously we engineered a modest specificity switch into the colicin E7 DNase-Im7 immunity protein complex by identifying mutations that are disruptive in the native complex, but can be compensated by mutations on the interacting partner. Here we extend the approach by systematically sampling alternate rigid body orientations to optimize the interactions in a binding mode specific manner. Using this protocol we designed a de novo hydrogen bond network at the DNase-immunity protein interface and confirmed the design with X-ray crystallographic analysis. Subsequent design of the second shell of interactions guided by insights from the crystal structure on tightly bound water molecules, conformational strain, and packing defects yielded new binding partners that exhibited specificities of at least 300-fold between the cognate and the non-cognate complexes. This multi-step approach should be applicable to the design of polar protein-protein interactions and contribute to the re-engineering of regulatory networks mediated by protein-protein interactions.     

The characterization of the exposure to immune mediated apoptosis and the regulation of immune cytotoxic activity in the environment of a neoplasm and in decidua

Acquiring the immune-mediated apoptosis and the ability to regulate the cytotoxic immune response are the main phenomena playing fundamental roles in such situations as neoplasm survival and creation of immune tolerance during pregnancy. The aim of this study was to investigate these phenomena through the evaluation of metallothionein and RCAS1 proteins in neoplasm and its healthy environment (clear surgical margin), physiological conditions in placenta and its environment (decidua) and the comparison to non-neoplasmatic lesions originating from the environment (nasal polyps, endometriosis). We have shown that the growth of RCAS1 expression was simultaneous to the infiltration of activated immunological cells of tumor environment as well as decidua. The activity of immunological cells was in our study selectively suppressed. Metallothionein expression growth was also observed in healthy tumors stroma and in decidua probably in response to the growing cytotoxic activity and tumor spread. Alterations in RCAS1 and Metallothionein expression seem to be associated with local immune dysfunction in nasal polyps and endometriosis. In conclusion, the ability to compensate the growing cytotoxic immune response is physiologically observed in decidua, the lost of this ability in tumor environment might participate in the development of tumor spread.     

Classifier ensembles for protein structural class prediction with varying homology

Structural class characterizes the overall folding type of a protein or its domain. A number of computational methods have been proposed to predict structural class based on primary sequences; however, the accuracy of these methods is strongly affected by sequence homology. This paper proposes, an ensemble classification method and a compact feature-based sequence representation. This method improves prediction accuracy for the four main structural classes compared to competing methods, and provides highly accurate predictions for sequences of widely varying homologies. The experimental evaluation of the proposed method shows superior results across sequences that are characterized by entire homology spectrum, ranging from 25% to 90% homology. The error rates were reduced by over 20% when compared with using individual prediction methods and most commonly used composition vector representation of protein sequences. Comparisons with competing methods on three large benchmark datasets consistently show the superiority of the proposed method.     

Crohn's disease risk alleles on the NOD2 locus have been maintained by natural selection on standing variation

Risk alleles for complex diseases are widely spread throughout human populations. However, little is known about the geographic distribution and frequencies of risk alleles, which may contribute to differences in disease susceptibility and prevalence among populations. Here, we focus on Crohn's disease (CD) as a model for the evolutionary study of complex disease alleles. Recent genome-wide association studies and classical linkage analyses have identified more than 70 susceptible genomic regions for CD in Europeans, but only a few have been confirmed in non-European populations. Our analysis of eight European-specific susceptibility genes using HapMap data shows that at the NOD2 locus the CD-risk alleles are linked with a haplotype specific to CEU at a frequency that is significantly higher compared with the entire genome. We subsequently examined nine global populations and found that the CD-risk alleles spread through hitchhiking with a high-frequency haplotype (H1) exclusive to Europeans. To examine the neutrality of NOD2, we performed phylogenetic network analyses, coalescent simulation, protein structural prediction, characterization of mutation patterns, and estimations of population growth and time to most recent common ancestor (TMRCA). We found that while H1 was significantly prevalent in European populations, the H1 TMRCA predated human migration out of Africa. H1 is likely to have undergone negative selection because 1) the root of H1 genealogy is defined by a preexisting amino acid substitution that causes serious conformational changes to the NOD2 protein, 2) the haplotype has almost become extinct in Africa, and 3) the haplotype has not been affected by the recent European expansion reflected in the other haplotypes. Nevertheless, H1 has survived in European populations, suggesting that the haplotype is advantageous to this group. We propose that several CD-risk alleles, which destabilize and disrupt the NOD2 protein, have been maintained by natural selection on standing variation because the deleterious haplotype of NOD2 is advantageous in diploid individuals due to heterozygote advantage and/or intergenic interactions.     

Know Your Enemy: How to Build and Vanquish a Global Fungal Scourge

The 8th International Conference on Cryptococcus and Cryptococcosis, chaired by Maurizio Del Poeta (Medical University of South Carolina), and organized together with June Kwon-Chung (National Institute of Allergy and Infectious Diseases), Stuart Levitz (University of Massachusetts Medical School), and John Perfect (Duke University), occurred in May 2011. This meeting brought together the world's leading researchers on Cryptococcus and cryptococcosis, including basic scientists, epidemiologists, and clinicians, to discuss new developments in Cryptococcus biology. With more than 60 oral presentations and 180 posters, this meeting enhanced our understanding of pathogenicity of Cryptococcus and served as a robust forum that facilitated cross-disciplinary discussions, research, and clinical collaborations. Due to space constraints, this brief overview highlights only a few of the topics discussed in this meeting, focusing on the evolution of virulence, host and pathogen interactions, fungal and host signaling, new advances of genomics studies on Cryptococcus, and the current status of the outbreak caused by C. gattii. The 8th International Conference on Cryptococcus and Cryptococcosis brought together scientists from across the globe in the beautiful historical downtown setting of Charleston to share their latest findings and highlight advances in Cryptococcus research. With more than 250 participants, this meeting was the largest gathering of the Cryptococcus international community in the 24-year history. Here, we review the advances presented and the current state of knowledge in the field.