Investigating protein domain combinations in complete proteomes

DMDM: domain mapping of disease mutations

Domain mapping of disease mutations (DMDM) is a database in which each disease mutation can be displayed by its gene, protein or domain location. DMDM provides a unique domain-level view where all human coding mutations are mapped on the protein domain. To build DMDM, all human proteins were aligned to a database of conserved protein domains using a Hidden Markov Model-based sequence alignment tool (HMMer). The resulting protein-domain alignments were used to provide a domain location for all available human disease mutations and polymorphisms. The number of disease mutations and polymorphisms in each domain position are displayed alongside other relevant functional information (e.g. the binding and catalytic activity of the site and the conservation of that domain location). DMDM's protein domain view highlights molecular relationships among mutations from different diseases that might not be clearly observed with traditional gene-centric visualization tools.

AVAILABILITY

Freely available at http://bioinf.umbc.edu/dmdm.

Ribonucleotide reductase modularity: Atypical duplication of the ATP-cone domain in Pseudomonas aeruginosa

The opportunistic pathogen Pseudomonas aeruginosa, which causes serious nosocomial infections, is a gamma-proteobacterium that can live in many different environments. Interestingly P. aeruginosa encodes three ribonucleotide reductases (RNRs) that all differ from other well known RNRs. The RNR enzymes are central for de novo synthesis of deoxyribonucleotides and essential to all living cells. The RNR of this study (class Ia) is a complex of the NrdA protein harboring the active site and the allosteric sites and the NrdB protein harboring a tyrosyl radical necessary to initiate catalysis. P. aeruginosa NrdA contains an atypical duplication of the N-terminal ATP-cone, an allosteric domain that can bind either ATP or dATP and regulates the overall enzyme activity. Here we characterized the wild type NrdA and two truncated NrdA variants with precise N-terminal deletions. The N-terminal ATP-cone (ATP-c1) is allosterically functional, whereas the internal ATP-cone lacks allosteric activity. The P. aeruginosa NrdB is also atypical with an unusually short lived tyrosyl radical, which is efficiently regenerated in presence of oxygen as the iron ions remain tightly bound to the protein. The P. aeruginosa wild type NrdA and NrdB proteins form an extraordinarily tight complex with a suggested alpha4beta4 composition. An alpha2beta2 composition is suggested for the complex of truncated NrdA (lacking ATP-c1) and wild type NrdB. Duplication or triplication of the ATP-cone is found in some other bacterial class Ia RNRs. We suggest that protein modularity built on the common catalytic core of all RNRs plays an important role in class diversification within the RNR family.

Domain boundary prediction based on profile domain linker propensity index

Successful prediction of protein domain boundaries provides valuable information not only for the computational structure prediction of multi-domain proteins but also for the experimental structure determination. In this work, a novel index at the profile level is presented, namely, the profile domain linker propensity index (PDLI), which uses the evolutionary information of profiles for domain linker prediction. The frequency profiles are directly calculated from the multiple sequence alignments outputted by PSI-BLAST and converted into binary profiles with a probability threshold. PDLI is then obtained by the frequencies of binary profiles in domain linkers as compared to those in domains. A smooth and normalized numeric profile is generated for any amino acid sequences from which the domain linkers can be predicted. Testing on the Structural Classification of Proteins (SCOP) database and CASP6 targets shows that PDLI outperforms other indexes at the amino acid level.