Subunit reassociation in mucin 1, a breast cancer tumor marker, is reported as one of the critical factors for its cytoplasmic activation. Inhibition of its heterodimeric association would therefore result in loss of its function and alter disease progression. The present study aimed at evaluating peptide inhibitor designing strategies that may serve as antagonist against this receptor-ligand alliance. Several peptides and their derivatives were designed based on native residues, subunit interface, hydrogen bonding and secondary structure. Docking studies with the peptides were carried on the receptor subunit and their binding affinities were evaluated using steered molecular dynamics simulation and umbrella sampling. Our results showed tha...
Abstract: The conformational propensities of the 21-residue peptide and its Oglycosylated analogs we...
The T-cell receptor (TCR) interaction with antigenic peptides (p) presented by the major histocompat...
In this thesis we discuss the role played by computational methods in drug discovery and present stu...
International audienceHuman MUC1 is over-expressed in human adenocarcinomas and has been used as a t...
Color poster with text, images, and tables.The crystal structure of the mucin monoclonal antibody SM...
Protein-protein interactions are fundamental to many biological processes, from signal transduction ...
Breast cancer is the most common cancer among women. Tamoxifen is the preferred drug for estrogen re...
Breast cancer is the most common cancer among women. Tamoxifen is the preferred drug for estrogen re...
<div><p>Inhibition of the protein-protein interaction (PPI) mediated by breast-cancer-gene 1 C-termi...
Aptasensors utilize aptamers as bioreceptors. Aptamers are highly efficient, have a high specificity...
Standard docking approaches used for the prediction of protein-ligand complexes in the drug developm...
Cyclopeptides are a promising class of compounds for inhibiting protein-protein interactions. In par...
Protein-ligand interactions are a necessary prerequisite for signal transduction, immunoreaction, an...
Standard docking approaches used for the prediction of protein ligand complexes in the drug developm...
Standard docking approaches used for the prediction of protein ligand complexes in the drug developm...
Abstract: The conformational propensities of the 21-residue peptide and its Oglycosylated analogs we...
The T-cell receptor (TCR) interaction with antigenic peptides (p) presented by the major histocompat...
In this thesis we discuss the role played by computational methods in drug discovery and present stu...
International audienceHuman MUC1 is over-expressed in human adenocarcinomas and has been used as a t...
Color poster with text, images, and tables.The crystal structure of the mucin monoclonal antibody SM...
Protein-protein interactions are fundamental to many biological processes, from signal transduction ...
Breast cancer is the most common cancer among women. Tamoxifen is the preferred drug for estrogen re...
Breast cancer is the most common cancer among women. Tamoxifen is the preferred drug for estrogen re...
<div><p>Inhibition of the protein-protein interaction (PPI) mediated by breast-cancer-gene 1 C-termi...
Aptasensors utilize aptamers as bioreceptors. Aptamers are highly efficient, have a high specificity...
Standard docking approaches used for the prediction of protein-ligand complexes in the drug developm...
Cyclopeptides are a promising class of compounds for inhibiting protein-protein interactions. In par...
Protein-ligand interactions are a necessary prerequisite for signal transduction, immunoreaction, an...
Standard docking approaches used for the prediction of protein ligand complexes in the drug developm...
Standard docking approaches used for the prediction of protein ligand complexes in the drug developm...
Abstract: The conformational propensities of the 21-residue peptide and its Oglycosylated analogs we...
The T-cell receptor (TCR) interaction with antigenic peptides (p) presented by the major histocompat...
In this thesis we discuss the role played by computational methods in drug discovery and present stu...