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Active Sequences Collection (ASC) is a collection of amino acid sequences, with an unique feature: only short sequences are collected, with a demonstrated biological activity. The current version of ASC consists of three sections: DORRS, a collection of active RGD-containing peptides; TRANSIT, a collection of protein regions active as substrates of transglutaminase enzyme (TGase), and BAC, a collection of short peptides with demonstrated biological activity. Literature references for each entry are reported, as well as cross references to other databases, when available. The current version of ASC includes more than 800 different entries. The main scope of this collection is to offer a new tool to investigate the structural features of protein active sites, additionally to similarity searches against large protein databases or searching for known functional patterns. ASC database is available at the web address http://crisceb.unina2.it/ASC/ which also offers a dedicated query interface to compare user-defined protein sequences with the database, as well as an updating interface to allow contribution of new referenced active sequences.

Homology modelling of the human eIF-5A protein has been performed by using a multiple predictions strategy. As the sequence identity between the target and the template proteins is nearly 30%, which is lower than the commonly used threshold to apply with confidence the homology modelling method, we developed a specific predictive scheme by combining different sequence analyses and predictions, as well as model validation by comparison to structural experimental information. The target sequence has been used to find homologues within sequence databases and a multiple alignment has been created. Secondary structure for each single protein has been predicted and compared on the basis of the multiple sequence alignment, in order to evaluate and adjust carefully any gap. Therefore, comparative modelling has been applied to create the model of the protein on the basis of the optimized sequence alignment. The quality of the model has been checked by computational methods and the structural features have been compared to experimental information, giving us a good validation of the reliability of the model and its correspondence to the protein structure in solution. Last, the model was deposited in the Protein Data Bank to be accessible for studies on the structure-function relationships of the human eIF-5A.

Summary: HELM is a web tool designed to automate the analysis of protein sequences searching for alpha helix motifs. This analysis can be useful in protein engineering studies, aimed at the identification of regions to be modified in order to obtain more suitable features of local and/or global stability., Availability: The tool is available to academic and commercial institutions at the URL http://crisceb.area.na.cnr.it/angelo/ PROTEIN_TOOLS/HELM/ CONTACT: angelo@crisceb.area.na.cnr.it

We have compared the X-ray structures of 13 thermophilic proteins with their mesophilic homologues, in order to bring out differences in the stability of helices. The energy terms of a helix-coil transition algorithm were used to evaluate helix stability. Helices of thermophilic proteins are more stable than the mesophilic homologues in 69% of cases. This is due mainly to intrinsic helical propensities of amino acids, whereas minor effects are linked to main chain H-bonds, side chain-side chain interactions, capping motifs and charge-dipole effects. Furthermore, the frequency of 10 helix stabilizing factors recognized by appropriate sequence patterns was evaluated. The only factor occurring significantly in the thermostable proteins was the lack of beta branched residues. Other factors do not show a definite trend, although their occurrence in proteins is believed to be important for stability. This is discussed in the light of protein engineering applications.

The flexibility plot of a protein lies on the observation that amino acid residues with the highest turn potential, i.e. located in highly mobile regions of protein surface, also possess the smallest volumes as well as the lowest hydrophobicities. The plot is generated by shifting a five residue window along the protein sequence and calculating the value of the hydrophobicity-volume product for consecutive quintuplets of amino acid residues. The concomitant occurrence of small volumes and low hydrophobicities results in very deep minima. A threshold value has also been introduced in order to discriminate significant minima. To substantiate the interpretation that the selected minima actually indicate very flexible segments of a protein (loops, turns, etc.), we have compared plots obtained for model proteins (lysozyme, myoglobin, ribonuclease, trypsin, thermolysin and T4 lysozyme) with X-ray thermal factors profiles available for the same proteins. When compared to thermal profiles, the majority of flexible segments evidenced by our plots have been found to be in agreement with regions characterized by high thermal factors. Results have also been discussed in the light of local organization possessed by examined proteins.