Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Computational Techniques in Binding Affinity Prediction of Drugs

View through CrossRef
Computational techniques are widely used in the chemoinformatics and bioinformatics. Most of the drugs produce their effect by interacting with the target molecules via different interactions. However, these interactions are tough to be calculated without use of robotics techniques. The potentials of these drugs depend upon their binding affinity. Due to huge number of such drugs, the measurement of their relative potency is a hard task. In present chapter the authors have discussed about some most common techniques which are widely used in bioinformatics and chemoinformatics.
Title: Computational Techniques in Binding Affinity Prediction of Drugs
Description:
Computational techniques are widely used in the chemoinformatics and bioinformatics.
Most of the drugs produce their effect by interacting with the target molecules via different interactions.
However, these interactions are tough to be calculated without use of robotics techniques.
The potentials of these drugs depend upon their binding affinity.
Due to huge number of such drugs, the measurement of their relative potency is a hard task.
In present chapter the authors have discussed about some most common techniques which are widely used in bioinformatics and chemoinformatics.

Related Results

Long-Range Electrostatic Interactions Significantly Modulate the Affinity of Dynein for Microtubules
Long-Range Electrostatic Interactions Significantly Modulate the Affinity of Dynein for Microtubules
AbstractThe dynein family of microtubule minus-end directed motor proteins drives diverse functions in eukaryotic cells, including cell division, intracellular transport, and flage...
Deep Geometric Framework to Predict Antibody-Antigen Binding Affinity
Deep Geometric Framework to Predict Antibody-Antigen Binding Affinity
In drug development, the efficacy of an antibody depends on how the antibody interacts with the target antigen. The strength of these interactions gives an indication of how succes...
Prediction of protein–carbohydrate complex binding affinity using structural features
Prediction of protein–carbohydrate complex binding affinity using structural features
Abstract Protein–carbohydrate interactions play a major role in several cellular and biological processes. Elucidating the factors influencing the binding affinity o...
A Folding–Docking–Affinity framework for protein–ligand binding affinity prediction
A Folding–Docking–Affinity framework for protein–ligand binding affinity prediction
Abstract Accurate protein-ligand binding affinity prediction is crucial in drug discovery. Existing methods are predominately docking-free, without explicitly consi...
Protein-ligand binding affinity prediction: Is 3D binding pose needed?
Protein-ligand binding affinity prediction: Is 3D binding pose needed?
Abstract Accurate protein-ligand binding affinity prediction is crucial in drug discovery. Existing methods are predominately docking-free, without explicitly considering a...
GAI MoRFs Regulate Cleft and Channel Binding Pathways for Gibberellin in GID1A
GAI MoRFs Regulate Cleft and Channel Binding Pathways for Gibberellin in GID1A
Abstract The hormone gibberellin (GA) promotes arabidopsis growth by enhancing binding between GA Insensitive DELLA transcriptional repressor...
Synergistic action of monoclonal antibodies directed at p55 and p75 chains of the human IL-2-receptor
Synergistic action of monoclonal antibodies directed at p55 and p75 chains of the human IL-2-receptor
Abstract TU27, a mouse IgG1 mAb directed at the p75 chain of the human IL-2R, was analyzed for its ability to interact with IL-2 binding on isolated p75 chains (YT-2...

Back to Top