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Knowledge-Based, Central Nervous System (CNS) Lead Selection and Lead Optimization for CNS Drug Discovery.

ABSTRACT: The central nervous system (CNS) is the major area that is affected by aging. Alzheimer's disease (AD), Parkinson's disease (PD), brain cancer, and stroke are the CNS diseases that will cost trillions of dollars for their treatment. Achievement of appropriate blood-brain barrier (BBB) penetration is often considered a significant hurdle in the CNS drug discovery process. On the other hand, BBB penetration may be a liability for many of the non-CNS drug targets, and a clear understanding of the physicochemical and structural differences between CNS and non-CNS drugs may assist both research areas. Because of the numerous and challenging issues in CNS drug discovery and the low success rates, pharmaceutical companies are beginning to deprioritize their drug discovery efforts in the CNS arena. Prompted by these challenges and to aid in the design of high-quality, efficacious CNS compounds, we analyzed the physicochemical property and the chemical structural profiles of 317 CNS and 626 non-CNS oral drugs. The conclusions derived provide an ideal property profile for lead selection and the property modification strategy during the lead optimization process. A list of substructural units that may be useful for CNS drug design was also provided here. A classification tree was also developed to differentiate between CNS drugs and non-CNS oral drugs. The combined analysis provided the following guidelines for designing high-quality CNS drugs: (i) topological molecular polar surface area of <76 Å(2) (25-60 Å(2)), (ii) at least one (one or two, including one aliphatic amine) nitrogen, (iii) fewer than seven (two to four) linear chains outside of rings, (iv) fewer than three (zero or one) polar hydrogen atoms, (v) volume of 740-970 Å(3), (vi) solvent accessible surface area of 460-580 Å(2), and (vii) positive QikProp parameter CNS. The ranges within parentheses may be used during lead optimization. One violation to this proposed profile may be acceptable. The chemoinformatics approaches for graphically analyzing multiple properties efficiently are presented.

SUBMITTER: Ghose AK

PROVIDER: S-EPMC3260741 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:There is currently no specific therapeutics for the HIV-1-related central nervous system (CNS) complications. Here we report that three newly designed CNS-targeting HIV-1 protease inhibitors (PIs), GRL-083-13, GRL-084-13, and GRL-087-13, which contain a P1-3,5-bis-fluorophenyl or P1-para-monofluorophenyl ring, and P2-bis-tetrahydrofuran (bis-THF) or P2-tetrahydropyrano-tetrahydrofuran (Tp-THF), with a sulfonamide isostere, are highly active against wild-type HIV-1 strains and primary clinical isolates (50% effective concentration [EC50], 0.0002 to ∼0.003 μM), with minimal cytotoxicity. These CNS-targeting PIs efficiently suppressed the replication of HIV-1 variants (EC50, 0.002 to ∼0.047 μM) that had been selected to propagate at high concentrations of conventional HIV-1 PIs. Such CNS-targeting PIs maintained their antiviral activity against HIV-2ROD as well as multidrug-resistant clinical HIV-1 variants isolated from AIDS patients who no longer responded to existing antiviral regimens after long-term therapy. Long-term drug selection experiments revealed that the emergence of resistant-HIV-1 against these CNS-targeting PIs was substantially delayed. In addition, the CNS-targeting PIs showed the most favorable CNS penetration properties among the tested compounds, including various FDA-approved anti-HIV-1 drugs, as assessed with the in vitro blood-brain barrier reconstruction system. Crystallographic analysis demonstrated that the bicyclic rings at the P2 moiety of the CNS-targeting PIs form strong hydrogen-bond interactions with HIV-1 protease (PR) active site. Moreover, both the P1-3,5-bis-fluorophenyl and P1-para-monofluorophenyl rings sustain greater van der Waals contacts with PR than in the case of darunavir (DRV). The data suggest that the present CNS-targeting PIs have desirable features for treating patients infected with wild-type and/or multidrug-resistant HIV-1 strains and might serve as promising preventive and/or therapeutic candidates for HIV-1-associated neurocognitive disorders (HAND) and other CNS complications.

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Knowledge-Based, Central Nervous System (CNS) Lead Selection and Lead Optimization for CNS Drug Discovery.

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