title: In silico pKa prediction and ADME profiling.
abstract: Improving the ADME profile of drug candidates is a critical step in lead optimization, and because pKa affects most ADME properties such as lipophilicity, solubility, and metabolism, it is extremely advantageous to predict pKa in order to guide the design of new compounds. However, accurately (<0.5 log units) predicting pKa by empirical methods can be challenging especially for novel series, because of lack of knowledge on determinants of pKa (steric effects, ring effects, H-bonding, etc.), and because of limited experimental data on the effects of specific chemical groups on the ionization of an atom. To address these issues, we recently developed the computational package MoKa, which integrates graphical and command line tools designed for computational and medicinal chemists to predict the pKa values of organic compounds. Here, we present the major issues considered when we developed MoKa, such as the accurate selection of training data, the fundamentals of the methodology (which has also been extended to predict protein pKa), the treatment of multiprotic compounds, and the selection of the dominant tautomer for the calculation. Last, we illustrate some specific applications of MoKa to predict solubility, lipophilicity, and metabolism.
authors: Laboratory for Chemometrics and Cheminformatics, Department of Chemistry, Università degli Studi di Perugia, via Elce di Sotto 10, I-06123, Perugia. gabri@chemiome.chm.unipg.it
authors: Gabriele
authors: G
authors: Cruciani
authors: Francesca
authors: F
authors: Milletti
authors: Loriano
authors: L
authors: Storchi
authors: Gianluca
authors: G
authors: Sforna
authors: Laura
authors: L
authors: Goracci
mesh_terms: D002626:Chemistry, Pharmaceutical / Q000379:methods; D003198:Computer Simulation; D064420:Drug-Related Side Effects and Adverse Reactions; D005544:Forecasting; D006860:Hydrogen Bonding; D006863:Hydrogen-Ion Concentration; D007536:Isomerism; D007700:Kinetics; D008958:Models, Molecular; D009930:Organic Chemicals; D004364:Pharmaceutical Preparations / Q000737:chemistry / Q000378:metabolism*; D010599:Pharmacokinetics; D011522:Protons; D012995:Solubility
chemical_list: D009930:Organic Chemicals; D004364:Pharmaceutical Preparations; D011522:Protons