Understanding structural/functional properties of immunoconjugates for cancer therapy by computational approaches.

Monoclonal antibodies coupled to highly toxic molecules (immunoconjugates) are currently being developed for cancer therapy. We have used an in silico procedure for evaluating some physicochemical properties of two tumor-targeting anti-HER2 immunoconjugates: (a) the single-chain antibody scFv(FRP5) linked to a bacterial toxin, that has been recently progressed to phase I clinical trial in human cancer; (b) the putative molecule formed by the intrinsically stable scFv(800E6), which has been proposed as toxin carrier to cancer cells in human therapy, joined to the same toxin of (a). Structural models of the immunoconjugates have been built by homology modeling and assessed by molecular dynamics simulations. The trajectories have been analyzed to extract some biochemical properties and to assess the potential effects of the toxin on the structure and dynamics of the anti-HER2 antibodies. The results of the computational approach indicate that the antibodies maintain their correct folding even in presence of the toxin, whereas a certain stiffness in correspondence of some structural regions is observed. Furthermore, the toxin does not seem to affect the antibody solubility, whereas it enhances the structural stability. The proposed computational approach represent a promising tool for analyzing some physicochemical properties of immunoconjugates and for predicting the effects of the linked toxin on structure, dynamics, and functionality of the antibodies.

Structural adaptation of enzymes to low temperatures.

A systematic comparative analysis of 21 psychrophilic enzymes belonging to different structural families from prokaryotic and eukaryotic organisms is reported. The sequences of these enzymes were multiply aligned to 427 homologous proteins from mesophiles and thermophiles. The net flux of amino acid exchanges from meso/thermophilic to psychrophilic enzymes was measured. To assign the observed preferred exchanges to different structural environments, such as secondary structure, solvent accessibility and subunit interfaces, homology modeling was utilized to predict the secondary structure and accessibility of amino acid residues for the psychrophilic enzymes for which no experimental three-dimensional structure is available. Our results show a clear tendency for the charged residues Arg and Glu to be replaced at exposed sites on alpha-helices by Lys and Ala, respectively, in the direction from 'hot' to 'cold' enzymes. Val is replaced by Ala at buried regions in alpha-helices. Compositional analysis of psychrophilic enzymes shows a significant increase in Ala and Asn and a decrease in Arg at exposed sites. Buried sites in beta-strands tend to be depleted of VAL: Possible implications of the observed structural variations for protein stability and engineering are discussed.