AbstractIdentifying hot-spot residues – residues that are critical to protein–protein binding – can help to elucidate a protein’s function and assist in designing therapeutic molecules to target those residues. We present a novel computational tool, termed spatial-interaction-map (SIM), to predict the hot-spot residues of an evolutionarily conserved protein–protein interaction from the structure of an unbound protein alone. SIM can predict the protein hot-spot residues with an accuracy of 36–57%. Thus, the SIM tool can be used to predict the yet unknown hot-spot residues for many proteins for which the structure of the protein–protein complexes are not available, thereby providing a clue to their functions and an opportunity to design thera...
Protein-protein interactions are critically dependent on just a few 'hot spot' residues at the inter...
Hydrogen bond, hydrophobic and vdW interactions are the three major non-covalent interactions at pro...
In this work, we present a method for predicting hot spot residues by using a set of structural and ...
Identifying hot-spot residues – residues that are critical to protein–protein binding – can help to ...
AbstractIdentifying hot-spot residues – residues that are critical to protein–protein binding – can ...
Understanding protein–protein interactions (PPIs) is fundamental to describe and to characterize the...
Protein-protein interactions (PPIs) are vital to all biological processes. These interactions are of...
Protein-protein interactions (PPIs) are ubiquitous in Biology, and thus offer an enormous potential ...
Introduction: Protein-protein interactions are important for biological processes and pathological s...
Hot spots are the subset of interface residues that account for most of the binding free energy, and...
A huge amount of genetic information is available thanks to the recent advances in sequencing techno...
Indiana University-Purdue University Indianapolis (IUPUI)Protein-protein interactions are fundamenta...
Background: The study of protein-protein interactions is becoming increasingly important for biotech...
The binding affinity of a protein–protein interaction is concentrated at amino acids known as hot sp...
Thesis (Ph.D.)--Boston UniversityPLEASE NOTE: Boston University Libraries did not receive an Authori...
Protein-protein interactions are critically dependent on just a few 'hot spot' residues at the inter...
Hydrogen bond, hydrophobic and vdW interactions are the three major non-covalent interactions at pro...
In this work, we present a method for predicting hot spot residues by using a set of structural and ...
Identifying hot-spot residues – residues that are critical to protein–protein binding – can help to ...
AbstractIdentifying hot-spot residues – residues that are critical to protein–protein binding – can ...
Understanding protein–protein interactions (PPIs) is fundamental to describe and to characterize the...
Protein-protein interactions (PPIs) are vital to all biological processes. These interactions are of...
Protein-protein interactions (PPIs) are ubiquitous in Biology, and thus offer an enormous potential ...
Introduction: Protein-protein interactions are important for biological processes and pathological s...
Hot spots are the subset of interface residues that account for most of the binding free energy, and...
A huge amount of genetic information is available thanks to the recent advances in sequencing techno...
Indiana University-Purdue University Indianapolis (IUPUI)Protein-protein interactions are fundamenta...
Background: The study of protein-protein interactions is becoming increasingly important for biotech...
The binding affinity of a protein–protein interaction is concentrated at amino acids known as hot sp...
Thesis (Ph.D.)--Boston UniversityPLEASE NOTE: Boston University Libraries did not receive an Authori...
Protein-protein interactions are critically dependent on just a few 'hot spot' residues at the inter...
Hydrogen bond, hydrophobic and vdW interactions are the three major non-covalent interactions at pro...
In this work, we present a method for predicting hot spot residues by using a set of structural and ...