CNS Multiparameter Optimisation (MPO) Score Predictor

    The following manual gives you a walk-through on how to use the CNS MPO Score Predictor.

    Table of Contents

    Introduction

    Central Nervous System (CNS) drugs are special in the sense that they have to penetrate the Blood-Brain Barrier (BBB) in order to have any effect on their target. It is also known that they exhibit physico-chemical properties from certain ranges, forming a smaller subset in the large property space of orally available drugs.

    Wager and his co-researchers at Pfizer built a CNS Multiparameter Optimization (MPO) algorithm for generating a score that used 6 common physico-chemical properties (molecular weight (MW), logP, logD at pH 7.4, topological polar surface area (TPSA), the number of H-bond donors (HBD) and the pKa of the most basic center of the molecule) to build a relationship between this smaller CNS property space and CNS drug-likeness. The research revealed that CNS drugs already on the market and potential candidates show high MPO score values (so called desirability score values ≥ 4.0 on a scale between 0 and 6), making this a useful tool at the design stage to accelerate the identification of compounds with increased probability of success. Since the publication of the research the CNS MPO Score has become a generally accepted algorithm in the CNS-oriented medicinal chemistry community.

    Chemaxon's CNS MPO Score Predictor is able to calculate the CNS MPO score using the algorithm published by Wager et al.

    Availability

    The CNS MPO Score prediction has been available since v. 20.21. in the following Chemaxon products.

    MarvinSketch

    In MarvinSketch the CNS MPO Score prediction is available under the Calculations » Other » CNS MPO score menu item.

    cns_mpo_score_marvin

    cxcalc

    To predict the CNS MPO Score with cxcalc, use the mpo function:

    cxcalc -N ih mpo aspirine
    5.75

    Chemical Terms

    To predict the MPO Score with Chemical Terms, use the mpo() function:

    evaluate -e "mpo()" aspirine
    5.75

    API

    From v. 22.20 the MPO Score prediction is also available via the public API.

    Accuracy report

    We tested the CNS MPO Score Predictor on a test set of 119 molecules available in the references. We plotted the number of test molecules for which the predicted CNS MPO score falls within the delta range of 0-0.5, 0.5-1.0 and 1.0-1.5, respectively.

    cns_mpo_score_accuracy

    Licensing

    The CNS MPO Score is a composite score and therefore its calculation requires Protonation, Partitioning and Structural Calculations licenses.

    References

    1. Wager, Travis T. et al. (2010). Moving beyond Rules: The Development of a Central Nervous System Multiparameter Optimization (CNS MPO) Approach To Enable Alignment of Druglike Properties, ACS Chem. Neurosci., 1(6), 435-449. https://doi.org/10.1021/cn100008c
    2. Wager, Travis T. et al. (2016). Central Nervous System Multiparameter Optimization Desirability: Application in Drug Discovery, ACS Chem. Neurosci., 7(6), 767-775. https://doi.org/10.1021/acschemneuro.6b00029