Sylvain Pitre

TL;DR: A novel Protein-Protein Interaction Prediction Engine capable of predicting protein-protein interactions for any target pair of the yeast Saccharomyces cerevisiae proteins from their primary structure and without the need for any additional information or predictions about the proteins is explained.

TL;DR: This paper presents the first practical implementation of a FPT based method for cluster editing, using the refined branching method in [6,7], and compares its implementation with the straightforward greedy method and a solution based on linear programming.

TL;DR: This chapter will focus on computational prediction of PPI, reviewing a number of techniques including PIPE, developed in the own laboratory and a discussion of the limitations of both experimental and computational methods of determining PPIs.

TL;DR: It is shown that using the computationally designed DNA pool greatly improves access to highly complex sequence structures for SELEX experiments (without losing the ability to select for common one-way and two-way junction sequences).

TL;DR: It is shown that the presence of co-occurring short polypeptide sequences between interacting protein partners appears to be conserved across different organisms and that global PPIs can be predicted from previously reported PPIs within the same or a different organism using protein primary sequences.