In silico resurrection of the major vault protein suggests it is ancestral in modern eukaryotes.

Vaults are very large oligomeric ribonucleoproteins conserved among a variety of species. The rat vault 3D structure shows an ovoid oligomeric particle, consisting of 78 major vault protein monomers, each of approximately 861 amino acids. Vaults are probably the largest ribonucleoprotein structures in eukaryote cells, being approximately 70 nm in length with a diameter of 40 nm--the size of three ribosomes and with a lumen capacity of 50 million Å(3). We use both protein sequences and inferred ancestral sequences for in silico virtual resurrection of tertiary and quaternary structures to search for vaults in a wide variety of eukaryotes. We find that the vault's phylogenetic distribution is widespread in eukaryotes, but is apparently absent in some notable model organisms. Our conclusion from the distribution of vaults is that they were present in the last eukaryote common ancestor but they have apparently been lost from a number of groups including fungi, insects, and probably plants. Our approach of inferring ancestral 3D and quaternary structures is expected to be useful generally.

Ranking multiple docking solutions based on the conservation of inter-residue contacts.

Molecular docking is the method of choice for investigating the molecular basis of recognition in a large number of functional protein complexes. However, correctly scoring the obtained docking solutions (decoys) to rank native-like (NL) conformations in the top positions is still an open problem. Herein we present CONSRANK, a simple and effective tool to rank multiple docking solutions, which relies on the conservation of inter-residue contacts in the analyzed decoys ensemble. First it calculates a conservation rate for each inter-residue contact, then it ranks decoys according to their ability to match the more frequently observed contacts. We applied CONSRANK to 102 targets from three different benchmarks, RosettaDock, DOCKGROUND, and Critical Assessment of PRedicted Interactions (CAPRI). The method performs consistently well, both in terms of NL solutions ranked in the top positions and of values of the area under the receiver operating characteristic curve. Its ideal application is to solutions coming from different docking programs and procedures, as in the case of CAPRI targets. For all the analyzed CAPRI targets where a comparison is feasible, CONSRANK outperforms the CAPRI scorers. The fraction of NL solutions in the top ten positions in the RosettaDock, DOCKGROUND, and CAPRI benchmarks is enriched on average by a factor of 3.0, 1.9, and 9.9, respectively. Interestingly, CONSRANK is also able to specifically single out the high/medium quality (HMQ) solutions from the docking decoys ensemble: it ranks 46.2 and 70.8% of the total HMQ solutions available for the RosettaDock and CAPRI targets, respectively, within the top 20 positions.