This Preface introduces the content of the BioMed Central journal Supplements related to BITS2014 meeting, held in Rome, Italy, from the 26th to the 28th of February, 2014.

BACKGROUND: In recent years, an exponential growing number of tools for protein sequence analysis, editing and modeling tasks have been put at the disposal of the scientific community. Despite the vast majority of these tools have been released as open source software, their deep learning curves often discourages even the most experienced users. RESULTS: A simple and intuitive interface, PyMod, between the popular molecular graphics system PyMOL and several other tools (i.e., [PSI-]BLAST, ClustalW, MUSCLE, CEalign and MODELLER) has been developed, to show how the integration of the individual steps required for homology modeling and sequence/structure analysis within the PyMOL framework can hugely simplify these tasks. Sequence similarity searches, multiple sequence and structural alignments generation and editing, and even the possibility to merge sequence and structure alignments have been implemented in PyMod, with the aim of creating a simple, yet powerful tool for sequence and structure analysis and building of homology models. CONCLUSIONS: PyMod represents a new tool for the analysis and the manipulation of protein sequences and structures. The ease of use, integration with many sequence retrieving and alignment tools and PyMOL, one of the most used molecular visualization system, are the key features of this tool.Source code, installation instructions, video tutorials and a user's guide are freely available at the URL http://schubert.bio.uniroma1.it/pymod/index.html.

Stefano Pascarella, Francesco Bossa; CLEAVAGE: a microcomputer program for predicting signal sequence cleavage sites, Bioinformatics, Volume 5, Issue 1, 1

Stefano Pascarella, Francesco Bossa; PRONET: a microcomputer program for predicting the secondary structure of proteins with a neural network, Bioinformatics, V

We have implemented several algorithms, developed by various authors for predicting structural features of proteins from their primary structure, on an Apple IIe and collected them in a suite, named PROTEUS. This suite incorporates: (i) methods for predicting secondary structure; (ii) the algorithm for computing the hydropathy profile using one out of five available sets of parameters; (iii) the algorithms for calculating the hydrophobic moment plot; and (iv) for performing the amphipathic analysis using one out of four available sets of parameters. The suite has a utility program for storing on a disk the sequence to be analysed. As an example, we applied some of the methods included in PROTEUS to predict the structure of a mitochondrial leader peptide. The results suggest the occurrence of structural features possibly related to the import of proteins into mitochondria.