LigMerge: A Fast Algorithm to Generate Models of Novel Potential Ligands from Sets of Known Binders
One common practice in drug discovery is to optimize known or suspected ligands in order to improve binding affinity. In performing these optimizations, it is useful to look at as many known inhibitors as possible for guidance. Medicinal chemists often seek to improve potency by altering certain che...
Main Authors: | Lindert, Steffen, Durrant, Jacob D, McCammon, J Andrew |
---|---|
Format: | Online |
Language: | English |
Published: |
Blackwell Publishing Ltd
2012
|
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3462068/ |
Similar Items
-
NNScore 2.0: A Neural-Network Receptor–Ligand Scoring Function
by: Durrant, Jacob D., et al.
Published: (2011) -
Improved
cryoEM-Guided Iterative Molecular Dynamics–Rosetta
Protein Structure Refinement Protocol for High Precision Protein Structure
Prediction
by: Lindert, Steffen, et al.
Published: (2015) -
Molecular dynamics simulations and drug discovery
by: Durrant, Jacob D, et al.
Published: (2011) -
Towards the development of novel Trypanosoma brucei RNA editing ligase 1 inhibitors
by: Durrant, Jacob D, et al.
Published: (2011) -
AutoClickChem: Click Chemistry in Silico
by: Durrant, Jacob D., et al.
Published: (2012)