Premium
In Silico Solid State Perturbation for Solubility Improvement
Author(s) -
Briggner LarsErik,
Kloo Lars,
Rosdahl Jan,
Svensson Per H.
Publication year - 2014
Publication title -
chemmedchem
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.817
H-Index - 100
eISSN - 1860-7187
pISSN - 1860-7179
DOI - 10.1002/cmdc.201300454
Subject(s) - solubility , in silico , molecule , computer science , solid state , chemistry , melting point , rational design , materials science , combinatorial chemistry , computational chemistry , biochemical engineering , nanotechnology , organic chemistry , engineering , biochemistry , gene
Solubility is a frequently recurring issue within pharmaceutical industry, and new methods to proactively resolve this are of fundamental importance. Here, a novel methodology is reported for intrinsic solubility improvement, using in silico prediction of crystal structures, by perturbing key interactions in the crystalline solid state. The methodology was evaluated with a set of benzodiazepine molecules, using the two‐dimensional molecular structure as the only a priori input. The overall trend in intrinsic solubility was correctly predicted for the entire set of benzodiazepines molecules. The results also indicate that, in drug compound series where the melting point is relatively high (i.e., “brick dust” compounds), the reported methodology should be very suitable for identifying strategically important molecular substitutions to improve solubility. As such, this approach could be a useful predictive tool for rational compound design in the early stages of drug development.