Lipophilic efficiency (LipE) is an important metric that has been increasingly applied in drug discovery medicinal chemistry lead optimization programs. In this Perspective, using literature drug discovery examples, we discuss the concept of rigorously applying LipE to guide medicinal chemistry lead optimization toward drug candidates with potential for superior in vivo efficacy and safety, especially when guided by physiochemical property-based optimization (PPBO). Also highlighted are examples of small structural modifications such as addition of single atoms, small functional groups, and cyclization that produce large increases in LipE. Understanding the factors that may contribute to LipE changes through analysis of ligand-protein crystal structures and using structure-based drug design (SBDD) to increase LipE by design is also discussed. Herein we advocate for use of LipE analysis coupled with PPBO and SBDD as an efficient mechanism for drug design.

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Structure-based drug design (SBDD) is commonly leveraged in rational drug design. Usually, ligand and binding site atomic coordinates from crystallographic data are exploited to optimize potency and selectivity. In addition to traditional, static views of proteins and ligands, we propose using normalized B-factors to study protein dynamics as a part of the drug optimization process. A retrospective case study of crizotinib and lorlatinib bound to both c-ros oncogene 1 kinase (ROS1) and anaplastic lymphoma kinase (ALK) L1196M related normalized B-factors to differences in binding affinity. This analysis showed that ligand binding can have protein-stabilizing effects that start near the ligand but propagate through nearby residues and structural waters to more distal motifs. The potential opportunities for analyzing normalized B-factors in SBDD are also discussed.

Anaplastic lymphoma kinase (ALK) is a receptor tyrosine kinase that can become oncogenic by activating mutations or overexpression. Full kinetic characterization of both phosphorylated and nonphosphorylated wildtype and mutant ALK kinase domain was done. Our structure-based drug design programs directed at ALK allowed us to interrogate whether X-ray crystallography data could be used to support the hypothesis that activation of ALK by mutation occurs due to increased protein dynamics. Crystallographic B-factors were converted to normalized B-factors, which allowed analysis of wildtype ALK, ALK-C1156Y, and ALK-L1196M. This data suggests that mobility of the P-loop, αC-helix, and activation loop (A-loop) may be important in catalytic activity increases, with or without phosphorylation. Both molecular dynamics simulations and hydrogen-deuterium exchange experimental data corroborated the normalized B-factors data.

Immune activating agents represent a valuable class of therapeutics for the treatment of cancer. An area of active research is expanding the types of these therapeutics that are available to patients via targeting new biological mechanisms. Hematopoietic progenitor kinase 1 (HPK1) is a negative regulator of immune signaling and a target of high interest for the treatment of cancer. Herein, we present the discovery and optimization of novel amino-6-aryl pyrrolopyrimidine inhibitors of HPK1 starting from hits identified via virtual screening. Key components of this discovery effort were structure-based drug design aided by analyses of normalized B-factors and optimization of lipophilic efficiency.