Operating characteristics of stepwise covariate selection in pharmacometric modeling.

Stepwise covariate modeling (SCM) is a widely used tool in pharmacometric analyses to identify covariates that explain between-subject variability (BSV) in exposure and exposure-response relationships. However, this approach has several potential weaknesses, including over-estimated covariate effect and incorrect selection of covariates due to collinearity. In this work, we investigated the operating characteristics (i.e., accuracy, precision, and power) of SCM in a controlled setting by simulating sixteen scenarios with up to four covariate relationships. The SCM analysis showed a decrease in the power to detect the true covariates as model complexity increased. Furthermore, false highly correlated covariates were frequently selected in place of or in addition to the true covariates. Relative root mean square errors (RMRSE) ranged from 1 to 51% for the fixed effects parameters, increased with the number of covariates included in the model, and were slightly higher than the RMRSE obtained with a simple re-estimation exercise with the true model (i.e., stochastic simulation and estimation). RMRSE for BSV increased with the number of covariates included in the model, with a covariance parameter RMRSE of almost 135% in the most complex scenario. Loose boundary conditions on the continuous covariate power relation appeared to have an impact on the covariate model selection in SCM. A stricter boundary condition helped achieve high power (> 90%), even in the most complex scenario. Finally, reducing the sample size in terms of number of subjects or number of samples proved to have an impact on the power to detect the correct model.

Leveraging model-informed approaches for drug discovery and development in the cardiovascular space.

Cardiovascular disease remains a significant global health burden, and development of cardiovascular drugs in the current regulatory environment often demands large and expensive cardiovascular outcome trials. Thus, the use of quantitative pharmacometric approaches which can help enable early Go/No Go decision making, ensure appropriate dose selection, and increase the likelihood of successful clinical trials, have become increasingly important to help reduce the risk of failed cardiovascular outcomes studies. In addition, cardiovascular safety is an important consideration for many drug development programs, whether or not the drug is designed to treat cardiovascular disease; modeling and simulation approaches also have utility in assessing risk in this area. Herein, examples of modeling and simulation applied at various stages of drug development, spanning from the discovery stage through late-stage clinical development, for cardiovascular programs are presented. Examples of how modeling approaches have been utilized in early development programs across various therapeutic areas to help inform strategies to mitigate the risk of cardiovascular-related adverse events, such as QTc prolongation and changes in blood pressure, are also presented. These examples demonstrate how more informed drug development decisions can be enabled by modeling and simulation approaches in the cardiovascular area.

Disposition into Adipose Tissue Determines Accumulation and Elimination Kinetics of the Cholesteryl Ester Transfer Protein Inhibitor Anacetrapib in Mice.

The cholesteryl ester transfer protein (CETP) inhibitor anacetrapib exhibits a long terminal half-life (t½) in humans; however, the dispositional mechanisms that lead to this long t½ are still being elucidated. As it is hypothesized that disposition into adipose tissue and binding to CETP might play a role, we sought to delineate the relative importance of these factors using a preclinical animal model. A multiple-dose pharmacokinetic study was conducted in C57BL6 wild-type (WT) lean, WT diet-induced obese (DIO), natural flanking region (NFR) CETP-transgenic lean, and NFR-DIO mice. Mice were dosed orally with 10 mg/kg anacetrapib daily for 42 days. Drug concentrations in blood, brown and white adipose tissue, liver, and brain were measured up to 35 weeks postdose. During dosing, a 3- to 9-fold accumulation in 72-hour postdose blood concentrations of anacetrapib was observed. Drug concentrations in white adipose tissue accumulated ∼20- to 40-fold, whereas 10- to 17-fold accumulation occurred in brown adipose and approximately 4-fold in liver. Brain levels were very low (<0.1 µM), and a trend of accumulation was not seen. The presence of CETP as well as adiposity seems to play a role in determining the blood concentrations of anacetrapib. The highest blood concentrations were observed in NFR DIO mice, whereas the lowest concentrations were seen in WT lean mice. In adipose and liver tissue, higher concentrations were seen in DIO mice, irrespective of the presence of CETP. This finding suggests that white adipose tissue serves as a potential depot and that disposition into adipose tissue governs the long-term kinetics of anacetrapib in vivo.

Population pharmacokinetic modeling of sotatercept in healthy participants and patients with pulmonary arterial hypertension.

Sotatercept is a breakthrough, first-in-class biologic, that is FDA-approved for the treatment of pulmonary arterial hypertension (PAH). A population pharmacokinetic (PopPK) model was developed using data from two phase 1 studies in healthy participants, and two phase 2 studies and one phase 3 study in participants with PAH. The pooled sotatercept PK data encompassed single intravenous (IV) or subcutaneous (SC) doses ranging from 0.01 to 3.0 mg/kg, as well as multiple SC doses ranging from 0.03 to 1.0 mg/kg, with PK samples collected up to a maximum of ~150 weeks following Q3W and Q4W dosing regimens. The final PopPK analysis included 350 participants, with 30 and 320 participants receiving sotatercept IV and SC, respectively. A two-compartment model with a first-order absorption rate constant and a linear disposition from central compartment well-described sotatercept PK. The estimated bioavailability is ~66%; bioavailability, clearance (CL), and central volume (VC) have low to moderate inter-individual variability. Time-varying body weight and baseline albumin concentration were statistically significant predictors of PK; CL and VC were predicted to increase with increasing body weight, while CL was predicted to decrease with increasing baseline albumin concentration. However, the magnitude of covariate effects is not predicted to meaningfully alter the disposition of sotatercept. Altogether, the PopPK modeling results demonstrate favorable PK characteristics (low to moderate variability and typical bioavailability), supporting sotatercept as a SC biological agent for the treatment of patients with PAH.

Considerations for Industry-Preparing for the FDA Model-Informed Drug Development (MIDD) Paired Meeting Program.

A recent industry perspective published in this journal describes the benefits received by drug companies from participation in the MIDD Pilot Program. Along with the primary objectives of supporting good decision-making in drug development, there were substantial savings in time and development costs. Furthermore, many sponsors reported qualitative benefits such as new learnings and clarity on MIDD strategies and methodology that could be applied to other development programs. Based on the success of the Pilot Program, the FDA recently announced the continuation of the MIDD Paired Meeting Program as part of the Prescription Drug User Fee Act (PDUFA VII). In this report, we describe the collective experiences of industry participants in the MIDD Program to date, including all aspects of the process from meeting request submission to follow-up actions. The purpose is to provide future participants with information to optimize the value of the MIDD Program.

Vericiguat, a novel sGC stimulator: Mechanism of action, clinical, and translational science.

Vericiguat, a novel soluble guanylate cyclase (sGC) stimulator, is approved for the treatment of heart failure (HF) with reduced ejection fraction (HFrEF). Decreased nitric oxide (NO) availability, sGC desensitization to NO, sGC deficiency, and reduced cyclic guanosine monophosphate (cGMP) signaling are potential contributing factors for HF disease progression. Vericiguat works via stimulation of sGC in the critical NO-sGC-cGMP pathway. Vericiguat is primarily metabolized by glucuronidation via uridine diphosphate-glucuronosyltransferase (UGT) isoforms UGT1A1 and UGT1A9. Urinary excretion and renal clearance of vericiguat are low. No intrinsic factor had a clinically relevant effect on vericiguat exposure. Vericiguat has low drug-drug interaction potential with no clinically relevant pharmacokinetic or pharmacodynamic interactions observed with warfarin, digoxin, aspirin, or sacubitril/valsartan. The global phase III study VICTORIA included patients with HFrEF who had a recent HF hospitalization or intravenous diuretic treatment for HF. Treatment with vericiguat on top of standard of care resulted in a 10% relative reduction in the primary composite outcome of death from cardiovascular causes or first hospitalization for HF. Vericiguat was well-tolerated with low incidence of symptomatic hypotension and syncope compared to placebo. Given its positive benefit-risk profile, vericiguat is an important option for high-risk patients with HFrEF who are already on guideline-directed medical therapy and had recent worsening of HF. Future efforts to develop additional effective therapies are needed to further reduce morbidity and mortality in patients with HF.

Population pharmacokinetic analysis of the P2X3-receptor antagonist gefapixant.

Gefapixant, a P2X3-receptor antagonist, demonstrated objective and subjective efficacy in individuals with refractory or unexplained chronic cough. We report a population pharmacokinetic (PopPK) analysis that characterizes gefapixant pharmacokinetics (PKs), quantifies between- and within-participant variability, and evaluates the impact of intrinsic and extrinsic factors on gefapixant exposure. The PopPK model was initially developed using PK data from six phase I studies. Stepwise covariate method was utilized to identify covariates impacting PK parameters; the model was re-estimated and covariate effects were re-assessed after integrating PK data from three phase II and III studies. Simulations were conducted to evaluate the magnitude of covariate effects on gefapixant exposure. Of 1677 participants included in this data set, 1618 had evaluable PK records. Age, body weight, and sex had statistically significant, but not clinically relevant, effects on exposure. Degree of renal impairment (RI) had statistically significant and clinically relevant effects on exposure; exposure was 17% to 89% higher in those with versus without RI. Simulation results indicated that gefapixant 45 mg administered once daily to patients with severe RI has similar exposure to gefapixant 45 mg administered twice daily to patients with normal renal function. There were no significant effects of proton pump inhibitors or food. Of evaluated intrinsic and extrinsic factors, only RI had a clinically relevant effect on gefapixant exposure. Patients with mild or moderate RI do not require dosage adjustments; however, for patients with severe RI who are not on dialysis, gefapixant 45 mg once daily is recommended.

Population pharmacokinetic/pharmacodynamic assessment of imipenem/cilastatin/relebactam in patients with hospital-acquired/ventilator-associated bacterial pneumonia.

In the phase III RESTORE-IMI 2 study (ClinicalTrials.gov: NCT02493764), the combination antibacterial agent imipenem/cilastatin/relebactam (IMI/REL) demonstrated noninferiority to piperacillin/tazobactam for the end points of all-cause mortality at day 28 and favorable clinical response at the early follow-up visit in adult participants with gram-negative hospital-acquired bacterial pneumonia/ventilator-associated bacterial pneumonia (HABP/VABP). Existing population pharmacokinetic models for imipenem (IPM) and REL were updated using data from patients with HABP/VABP from RESTORE-IMI 2. Creatinine clearance (CrCl), body weight, infection type, and ventilation status were significant covariates in the updated model. The following simulations were performed to calculate the pharmacokinetic/pharmacodynamic joint probability of target attainment among patients with HABP/VABP and varying degrees of renal function: augmented renal clearance (CrCl ≥150 ml/min), normal renal function (CrCl ≥90 to <150 ml/min), renal impairment (mild, CrCl ≥60 to <90 ml/min; moderate, CrCl ≥30 to <60 ml/min; or severe, CrCl ≥15 to <30 ml/min), and end-stage renal disease (CrCl <15 ml/min). At the recommended IMI/REL dosing regimens across renal categories, greater than 90% of patients in all renal function groups were predicted to achieve joint pharmacokinetic/pharmacodynamic targets at a minimum inhibitory concentration breakpoint of ≤2 µg/ml, regardless of ventilation status. This modeling and simulation analysis supports use of the recommended IMI/REL dosing regimens, adjusted based on renal function, in patients with HABP/VABP.

Population Pharmacokinetics of Vericiguat in Patients With Heart Failure With Reduced Ejection Fraction: An Integrated Analysis.

Vericiguat, a novel stimulator of soluble guanylate cyclase (sGC), is indicated for the treatment of patients following a hospitalization for heart failure or need for outpatient intravenous diuretics, with symptomatic chronic heart failure and ejection fraction less than 45%. Pharmacokinetic (PK) data from the phase II trial SOCRATES-REDUCED (Soluble Guanylate Cyclase Stimulator in Heart Failure Study) and the phase III trial VICTORIA (Vericiguat Global Study in Patients With Heart Failure With Reduced Ejection Fraction) were used to characterize vericiguat PK. A total of 8,092 concentration records from 2,321 participants (362 from SOCRATES-REDUCED and 1,959 from VICTORIA) were utilized for the development of the population PK model. The final PK model was a one-compartment model with first-order absorption and linear elimination. Baseline body weight and time-varying body weight were identified as statistically significant covariates affecting apparent clearance (CL/F) and volume of distribution, respectively. Age, sex, race, bilirubin, estimated glomerular filtration rate, and albumin did not affect vericiguat PK. Baseline disease-related factors, such as left ventricular ejection fraction, New York Heart Association (NYHA) class, and N-terminal pro B-type natriuretic peptide, also did not influence vericiguat PK. Since vericiguat is a titrated drug, the impact of vericiguat PK on the titration to and maintenance of the target dose in VICTORIA was assessed. The distribution of steady-state doses in VICTORIA was similar across CL/F quartiles, suggesting that the ability to reach and maintain dosing at the target 10-mg dose was not related to vericiguat exposure.

A method to estimate probability of disease and vaccine efficacy from clinical trial immunogenicity data.

Vaccine efficacy is often assessed by counting disease cases in a clinical trial. A new quantitative framework proposed here ("PoDBAY," Probability of Disease Bayesian Analysis), estimates vaccine efficacy (and confidence interval) using immune response biomarker data collected shortly after vaccination. Given a biomarker associated with protection, PoDBAY describes the relationship between biomarker and probability of disease as a sigmoid probability of disease ("PoD") curve. The PoDBAY framework is illustrated using clinical trial simulations and with data for influenza, zoster, and dengue virus vaccines. The simulations demonstrate that PoDBAY efficacy estimation (which integrates the PoD and biomarker data), can be accurate and more precise than the standard (case-count) estimation, contributing to more sensitive and specific decisions than threshold-based correlate of protection or case-count-based methods. For all three vaccine examples, the PoD fit indicates a substantial association between the biomarkers and protection, and efficacy estimated by PoDBAY from relatively little immunogenicity data is predictive of the standard estimate of efficacy, demonstrating how PoDBAY can provide early assessments of vaccine efficacy. Methods like PoDBAY can help accelerate and economize vaccine development using an immunological predictor of protection. For example, in the current effort against the COVID-19 pandemic it might provide information to help prioritize (rank) candidates both earlier in a trial and earlier in development.

Pharmacokinetics, Safety and Tolerability of Anacetrapib, a Novel Cholesteryl Ester Transfer Protein (CETP) Inhibitor, After Single and Multiple Doses in Healthy Chinese Subjects.

INTRODUCTION: Anacetrapib is a novel, powerful cholesteryl ester transfer protein (CETP) inhibitor with bidirectional lipid regulation, which was developed for dyslipidemia. The aim of this study is to evaluate the single- and multiple-dose pharmacokinetics (PK), safety and tolerability of anacetrapib in healthy Chinese subjects and assess the PK difference between Chinese and other populations. METHODS: Forty subjects were enrolled in an open-label study consisting of three panels (50 mg single dose; 100 mg single dose followed by 100 mg once-daily multiple doses for 10 days; a 200 mg single dose). Safety and tolerability were evaluated by monitoring adverse events, laboratory safety tests, ECGs, vital signs and physical examination. PK were evaluated and compared with historical data in black and white subjects. RESULTS: Anacetrapib was absorbed after administration of a single oral dose, with a median Tmax of 3.0-5.0 h and elimination half-life of 105.3-122.3 h. The AUC and Cmax of anacetrapib increased in a slightly less than dose-proportional manner over a dose range of 50-200 mg. Once-daily administration of 100 mg of anacetrapib for 10 days resulted in a median Tmax of 5.0 h with an apparent half-life of 193.7 h on Day 10 of multiple dosing. Anacetrapib accumulation ratios (Day 10 of multiple dosing/Day 1) were 1.39 (AUC0-24 h), 1.11 (Cmax) and 2.57 (C24 h). CONCLUSION: The PK properties of anacetrapib in Chinese subjects are comparable to those observed in the black population and in white subjects. Single and once-daily administration of anacetrapib was generally well tolerated in healthy Chinese subjects observed in this study. TRIAL REGISTRATION: chinadrugtrials.org.cn identifier number CTR20130983.

A Disease Progression Model to Quantify the Nonmotor Symptoms of Parkinson's Disease in Participants With Leucine-Rich Repeat Kinase 2 Mutation.

Leucine-rich repeat kinase 2 (LRRK2) inhibitors are currently in clinical development as interventions to slow progression of Parkinson's disease (PD). Understanding the rate of progression in PD as measured by both motor and nonmotor features is particularly important in assessing the potential therapeutic effect of LRRK2 inhibitors in clinical development. Using standardized data from the Critical Path for Parkinson's Unified Clinical Database, we quantified the rate of progression of the Movement Disorder Society-sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS) Part I (nonmotor aspects of experiences of daily living) in 158 participants with PD who were carriers and 598 participants with PD who were noncarriers of at least one of three different LRRK2 gene mutations (G2019S, R1441C/G, or R1628P). Age and disease duration were found to predict baseline disease severity, while presence of at least one of these three LRRK2 mutations was a predictor of the rate of MDS-UPDRS Part I progression. The estimated progression rate in MDS-UPDRS Part I was 0.648 (95% confidence interval: 0.544, 0.739) points per year in noncarriers of a LRRK2 mutation and 0.259 (95% confidence interval: 0.217, 0.295) points per year in carriers of a LRRK2 mutation. This analysis demonstrates that the rate of progression based on MDS-UPDRS Part I is ~ 60% lower in carriers as compared with noncarriers of LRRK2 gene mutations.

Pharmacokinetics and Pharmacodynamics of Anacetrapib Following Single Doses in Healthy, Young Japanese and White Male Subjects.

Anacetrapib is a cholesteryl ester transfer protein (CETP) inhibitor being developed for the treatment of mixed dyslipidemia. The aim of the study was to evaluate the pharmacokinetic, pharmacodynamic, and safety characteristics of anacetrapib following single doses in healthy, young Japanese men. In a double-blind, randomized, placebo-controlled, 3-panel, single-rising-dose study, 6 healthy young Japanese male or white male subjects (aged 19 to 44 years) received single oral doses of 5 to 500 mg anacetrapib, and 2 received placebo. Plasma and urine drug concentrations were measured 0-168 hours postdose, and plasma CETP inhibition was measured 0-24 hours postdose. Urinary anacetrapib levels were all below quantitation limits. Plasma concentrations of anacetrapib increased approximately less than dose-proportionally. Consumption of a traditional Japanese breakfast prior to dosing increased the plasma pharmacokinetics of anacetrapib in Japanese subjects compared with fasted conditions, to a similar extent as in white subjects. CETP activity measured over 0-24 hours postdose resulted in significant inhibition. Anacetrapib was generally well tolerated, and there were no serious adverse experiences. No clinically meaningful differences in PK and CETP inhibition parameters were found between Japanese and white subjects.

Pharmacokinetics and Pharmacodynamics of Anacetrapib in Black and White Healthy Subjects.

Anacetrapib is a cholesteryl ester transfer protein inhibitor intended for the treatment of dyslipidemia. A phase 1 study was conducted to examine the pharmacokinetics and pharmacodynamics of multiple doses of anacetrapib in black compared to white healthy subjects. Although there was no apparent race-related pharmacokinetic effect, attenuation of the lipid response was observed in black subjects. Specifically, high-density lipoprotein cholesterol percentage increased 18.1% (absolute percentage points) less in black subjects (89.9%) when compared to increases in white subjects (108.0%). Similarly, the decrease in low-density lipoprotein cholesterol was 17.8% (absolute percentage points) less in blacks (-21.2%) relative to whites (-39.0%). In contrast, there were no apparent race-related differences in cholesteryl ester transfer protein mass or activity. Anacetrapib was generally well tolerated in this study. The results of this study suggest that there may be race-related differences in pharmacodynamics of anacetrapib independent of pharmacokinetics.

Global transcriptional program of p53 target genes during the process of apoptosis and cell cycle progression.

The temporal gene expression profile during the entire process of apoptosis and cell cycle progression in response to p53 in human ovarian cancer cells was explored with cDNA microarrays representing 33 615 individual human genes. A total of 1501 genes (4.4%) were found to respond to p53 (approximately 80% of these were repressed by p53) using 2.5-fold change as a cutoff. It was anticipated that most of p53 responsive genes resulted from the secondary effect of p53 expression at late stage of apoptosis. To delineate potential p53 direct and indirect target genes during the process of apoptosis and cell cycle progression, microarray data were combined with global p53 DNA-binding site analysis. Here we showed that 361 out of 1501 p53 responsive genes contained p53 consensus DNA-binding sequence(s) in their regulatory region, approximately 80% of which were repressed by p53. This is the first time that a large number of p53-repressed genes have been identified to contain p53 consensus DNA-binding sequence(s) in their regulatory region. Hierarchical cluster analysis of these genes revealed distinct temporal expression patterns of transcriptional activation and repression by p53. More genes were activated at early time points, while more repressed genes were found after the onset of apoptosis. A small-scale quantitative chromatin immunoprecipitation analysis indicated that in vivo p53-DNA interaction was detected in eight out of 10 genes, most of which were repressed by p53 at the early onset of apoptosis, suggesting that a portion of p53 target genes in the human genome could be negatively regulated by p53 via sequence-specific DNA binding. The approaches and genes described here should aid the understanding of global gene regulatory network of p53.

Analysis of the ERK1,2 transcriptome in mammary epithelial cells.

MAPK (mitogen-activated protein kinase) pathways constitute major regulators of cellular transcriptional programmes. We analysed the ERK1,2 (extracellular-signal-regulated kinase 1,2) transcriptome in a non-transformed MEC (mammary epithelial cell) line, MCF-12A, utilizing rAd MEK1EE, a recombinant adenovirus encoding constitutively active MEK1 (MAPK/ERK kinase 1). rAd MEK1EE infection induced morphological changes and DNA synthesis which were inhibited by the MEK1,2 inhibitor PD184352. Hierarchical clustering of data derived from seven time points over 24 h identified 430 and 305 co-ordinately up-regulated and down-regulated genes respectively. c-Myc binding sites were identified in the promoters of most of these up-regulated genes. A total of 46 candidate effectors of the Raf/MEK/ERK1,2 pathway in MECs were identified by comparing our dataset with previously reported Raf-1-regulated genes. These analyses led to the identification of a suite of growth factors co-ordinately induced by MEK1EE, including multiple ErbB ligands, vascular endothelial growth factor and PHRP (parathyroid hormone-related protein). PHRP is the primary mediator of humoral hypercalcaemia of malignancy, and has been implicated in metastasis to bone. We demonstrate that PHRP is secreted by MEK1EE-expressing cells. This secretion is inhibited by PD184352, but not by ErbB inhibitors. Our results suggest that, in addition to anti-proliferative properties, MEK1,2 inhibitors may be anti-angiogenic and possess therapeutic utility in the treatment of PHRP-positive tumours.

Sampling strategies for detecting rare impurities: an application in gene therapy products.

Detection of rare impurities in drug products presents special challenges. Replication competent adenovirus (RCA) is a rare impurity found in adenovirus-based gene therapy products. Various methods are used for detection of RCAs. We primarily focus on qualitative assays. Acceptance sampling plans for detecting RCAs in batches of gene therapy products are discussed. Assuming that the number of RCA units per patient dose follows a Poisson distribution, operating characteristics (OC) of these sampling plans can be studied. The OC curves display the acceptance probabilities for batches with specific true but unknown level of RCA and can be used to assess the specificity and sensitivity of the test strategies. Application of Bayesian methodologies in the assessment of RCA levels in drug batches is also discussed. Using observed data and prior belief, a 95% credible region for the number of RCA units per patient dose can be constructed. Both classical and Bayesian calculations display the impact of sample size, sampling fraction, and assay quality on the detection of RCA. For better sensitivity, the largest possible sampling fraction that does not interfere with the logistics and the performance of the assay should be used. The choice of sample size will depend on the upper limit of the biologically safe level of RCA, the testing strategy, the desired level of sensitivity and specificity, and also on practical issues.

Human members of the eukaryotic protein kinase family.

BACKGROUND: Eukaryotic protein kinases (EPKs) constitute one of the largest recognized protein families represented in the human genome. EPKs, which are similar to each other in sequence, structure and biochemical properties, are important players in virtually every signaling pathway involved in normal development and disease. Near completion of projects to sequence the human genome and transcriptome provide an opportunity to identify and perform sequence analysis on a nearly complete set of human EPKs. RESULTS: Publicly available genetic sequence data were searched for human sequences that potentially represent EPK family members. After removal of duplicates, splice variants and pseudogenes, this search yielded 510 sequences with recognizable similarity to the EPK family. Protein sequences of putative EPK catalytic domains identified in the search were aligned, and a phonogram was constructed based on the alignment. Representative sequence records in GenBank were identified, and derived information about gene mapping and nomenclature was summarized. CONCLUSIONS: This work represents a nearly comprehensive census and early bioinformatics overview of the EPKs encoded in the human genome. Evaluation of the sequence relationships between these proteins contributes contextual information that enhances understanding of individual family members. This curation of human EPK sequences provides tools and a framework for the further characterization of this important class of enzymes.