Quantum Pharmaceuticals
Quantum Pharmaceuticals is a technology based drug discovery company. We develop a unique computational drug discovery platform (QUANTUM), provide drug discovery services, and pursue our own in-house drug discovery projects searching for novel compounds with anti-bacterial, anti-viral and anti-cancer efficacy.
Quantum@linkedin.com
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Categories
- absorbtion (3)
- active transport (2)
- ADME (4)
- albumin (1)
- antibiotics (1)
- antiviral (4)
- bioavailability (3)
- cancer (3)
- cardiotoxicity (1)
- collaboration (13)
- compound libraries (1)
- COPD (1)
- docking (12)
- drug design (4)
- drug discovery platform (1)
- druglikeness (4)
- false postive (3)
- flue (1)
- Generalized Born (15)
- GPCR (1)
- HERG (6)
- HIV (2)
- HIV-1 integrase (1)
- HSV (1)
- human neutrophil elastase (1)
- IC50 (18)
- inflammation (3)
- kinase (1)
- LD50 (2)
- logP (1)
- mechanism of action exploration (2)
- MRDD (3)
- new therapeutic uses (1)
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- PDK1 (1)
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- publications (10)
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- Quantum Software (10)
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- solvation energy (18)
- ss DNA (1)
- talk (5)
- toxicity (7)
- trombine (2)
- tuberculosis (3)
- Uncategorized (4)
- video (3)
- water (19)
Recent comments
- Talk@MIPT (in Russian) on Video recorded from "Water as a ferroelectric…" presentation at MIPT, November 5th, 2008
- FFT acceleration demonstration for (surface)GB methods on Water polarization charges in Generalized Born models.
- FFT acceleration demonstration for (surface)GB methods on O(N) Surface Charges Generalized Born calculation demonstration
- FFT acceleration demonstration for (surface)GB methods on O(N) SCGB solvation models: first “blood”
- FFT acceleration demonstration for (surface)GB methods on How to use Born surface charges to calculate solvation energy?
trombine Archive
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Docking validation study: classic example, thrombine
Posted on June 5, 2008 | View CommentsThe Figure on the left represents a docking study of more than 200 molecules with known activity on thrombin. The protein is a well known target …. We have extracted the binding data from the BindingDB database and docked all the molecules onto a single... -
How good are biological data – II: Trombine, GSK, GPCR
Posted on December 18, 2007 | View CommentsMany bindign affinity prediction methods, such as scores and QSAR models, rely on availability of accurate information on binding constants. The figure on the left is a result of our sdf-file parser applied to trombine (blue) and GSK (yellow) binding data from BindingDB database. The...