Exploring NCATS in-house biomedical data for evidence-based drug repurposing.

Drug repurposing is a strategy for identifying new uses of approved or investigational drugs that are outside the scope of the original medical indication. Even though many repurposed drugs have been found serendipitously in the past, the increasing availability of large volumes of biomedical data has enabled more systemic, data-driven approaches for drug candidate identification. At National Center of Advancing Translational Sciences (NCATS), we invent new methods to generate new data and information publicly available to spur innovation and scientific discovery. In this study, we aimed to explore and demonstrate biomedical data generated and collected via two NCATS research programs, the Toxicology in the 21st Century program (Tox21) and the Biomedical Data Translator (Translator) for the application of drug repurposing. These two programs provide complementary types of biomedical data from uncovering underlying biological mechanisms with bioassay screening data from Tox21 for chemical clustering, to enrich clustered chemicals with scientific evidence mined from the Translator towards drug repurposing. 129 chemical clusters have been generated and three of them have been further investigated for drug repurposing candidate identification, which is detailed as case studies.

Areas of strength and opportunities for growth in translational science education and training: Results of a scoping review from the NCATS Education Branch.

Translational science education and training (E&T) aims to prepare the translational workforce to accelerate progress along the translational pipeline toward solutions that improve human health. In 2020-2021, the National Center for Advancing Translational Sciences (NCATS) Education Branch conducted a scoping review of the E&T literature with this focus. The review used the methodological framework proposed by Arksey and O'Malley. PubMed, Education Resources Information Center (ERIC), and Embase were searched, and forward citations conducted. Screening of titles, abstracts, and full text identified 44 included articles. Data extraction facilitated analysis of E&T content, audiences, modalities, evaluations, and recommendations. The NCATS Translational Science Principles were used to identity described or recommended E&T content. Twenty-nine articles described a translational science E&T opportunity or its evaluation, and another 15 articles offered recommendations for translational science E&T. The most prevalent NCATS Translational Science Principles were boundary-crossing partnerships (77%) and cross-disciplinary team science (75%). Among publications describing E&T opportunities, the most reported modalities were experiential learning (64%) and courses (61%) and the most reported participants were graduate students (68%) and postdoctoral fellows (54%). About half of these articles (n = 15) reported an evaluation, covering a range of proximal to distal outcomes. Recommendations emphasized the value of translational science E&T across training and career stages and the use of varied modalities to reach diverse audiences. This review highlights strengths and opportunities for growth in translational science E&T. Enhancements to content, expansion of participants and modalities, and rigorous evaluations will contribute to building a highly qualified, diverse translational science workforce.

CellMinerCDB: NCATS Is a Web-Based Portal Integrating Public Cancer Cell Line Databases for Pharmacogenomic Explorations.

Major advances have been made in the field of precision medicine for treating cancer. However, many open questions remain that need to be answered to realize the goal of matching every patient with cancer to the most efficacious therapy. To facilitate these efforts, we have developed CellMinerCDB: National Center for Advancing Translational Sciences (NCATS; https://discover.nci.nih.gov/rsconnect/cellminercdb_ncats/), which makes available activity information for 2,675 drugs and compounds, including multiple nononcology drugs and 1,866 drugs and compounds unique to the NCATS. CellMinerCDB: NCATS comprises 183 cancer cell lines, with 72 unique to NCATS, including some from previously understudied tissues of origin. Multiple forms of data from different institutes are integrated, including single and combination drug activity, DNA copy number, methylation and mutation, transcriptome, protein levels, histone acetylation and methylation, metabolites, CRISPR, and miscellaneous signatures. Curation of cell lines and drug names enables cross-database (CDB) analyses. Comparison of the datasets is made possible by the overlap between cell lines and drugs across databases. Multiple univariate and multivariate analysis tools are built-in, including linear regression and LASSO. Examples have been presented here for the clinical topoisomerase I (TOP1) inhibitors topotecan and irinotecan/SN-38. This web application provides both substantial new data and significant pharmacogenomic integration, allowing exploration of interrelationships. SIGNIFICANCE: CellMinerCDB: NCATS provides activity information for 2,675 drugs in 183 cancer cell lines and analysis tools to facilitate pharmacogenomic research and to identify determinants of response.

NCATS Inxight Drugs: a comprehensive and curated portal for translational research.

The United States has a complex regulatory scheme for marketing drugs. Understanding drug regulatory status is a daunting task that requires integrating data from many sources from the United States Food and Drug Administration (FDA), US government publications, and other processes related to drug development. At NCATS, we created Inxight Drugs (https://drugs.ncats.io), a web resource that attempts to address this challenge in a systematic manner. NCATS Inxight Drugs incorporates and unifies a wealth of data, including those supplied by the FDA and from independent public sources. The database offers a substantial amount of manually curated literature data unavailable from other sources. Currently, the database contains 125 036 product ingredients, including 2566 US approved drugs, 6242 marketed drugs, and 9684 investigational drugs. All substances are rigorously defined according to the ISO 11238 standard to comply with existing regulatory standards for unique drug substance identification. A special emphasis was placed on capturing manually curated and referenced data on treatment modalities and semantic relationships between substances. A supplementary resource 'Novel FDA Drug Approvals' features regulatory details of newly approved FDA drugs. The database is regularly updated using NCATS Stitcher data integration tool that automates data aggregation and supports full data access through a RESTful API.

Generation of two gene corrected human isogenic iPSC lines (NCATS-CL6104 and NCATS-CL6105) from a patient line (NCATS-CL6103) carrying a homozygous p.R401X mutation in the NGLY1 gene using CRISPR/Cas9.

NGLY1 deficiency is a rare recessive genetic disease caused by mutations in the NGLY1 gene which codes for N-glycanase 1 (NGLY1). Here, we report the generation of two gene corrected iPSC lines using a patient-derived iPSC line (NCATS-CL6103) that carried a homozygous p.R401X mutation in the NGLY1 gene. These lines contain either one (NCATS-CL6104) or two (NCATS-CL6105) CRISPR/Cas9 corrected alleles of NGLY1. This pair of NGLY1 mutation corrected iPSC lines can be used as a control for the NCATS-CL6103 which serves as a cell-based NGLY1 disease model for the study of the disease pathophysiology and evaluation of therapeutics under development.

Validating ADME QSAR Models Using Marketed Drugs.

Problems with drug ADME are responsible for many clinical failures. By understanding the ADME properties of marketed drugs and modeling how chemical structure contributes to these inherent properties, we can help new projects reduce their risk profiles. Kinetic aqueous solubility, the parallel artificial membrane permeability assay (PAMPA), and rat liver microsomal stability constitute the Tier I ADME assays at the National Center for Advancing Translational Sciences (NCATS). Using recent data generated from in-house lead optimization Tier I studies, we update quantitative structure-activity relationship (QSAR) models for these three endpoints and validate in silico performance against a set of marketed drugs (balanced accuracies range between 71% and 85%). Improved models and experimental datasets are of direct relevance to drug discovery projects and, together with the prediction services that have been made publicly available at the ADME@NCATS web portal (https://opendata.ncats.nih.gov/adme/), provide important tools for the drug discovery community. The results are discussed in light of our previously reported ADME models and state-of-the-art models from scientific literature.Graphical Abstract[Figure: see text].

Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.

Hepatic metabolic stability is a key pharmacokinetic parameter in drug discovery. Metabolic stability is usually assessed in microsomal fractions and only the best compounds progress in the drug discovery process. A high-throughput single time point substrate depletion assay in rat liver microsomes (RLM) is employed at the National Center for Advancing Translational Sciences. Between 2012 and 2020, RLM stability data was generated for ~ 24,000 compounds from more than 250 projects that cover a wide range of pharmacological targets and cellular pathways. Although a crucial endpoint, little or no data exists in the public domain. In this study, computational models were developed for predicting RLM stability using different machine learning methods. In addition, a retrospective time-split validation was performed, and local models were built for projects that performed poorly with global models. Further analysis revealed inherent medicinal chemistry knowledge potentially useful to chemists in the pursuit of synthesizing metabolically stable compounds. In addition, we deposited experimental data for ~ 2500 compounds in the PubChem bioassay database (AID: 1508591). The global prediction models are made publicly accessible ( https://opendata.ncats.nih.gov/adme ). This is to the best of our knowledge, the first publicly available RLM prediction model built using high-quality data generated at a single laboratory.

The National Center for Advancing Translational Sciences' Intramural Training Program and Fellow Career Outcomes.

The National Center for Advancing Translational Sciences (NCATS) defines translational science as "the field of investigation focused on understanding the scientific and operational principles underlying each step of the translational process." A major goal of translational science is to determine commonalities across projects to identify principles for addressing persistent bottlenecks in this process. To meet this goal, translational scientists must be conversant in multiple disciplines, work in teams, and understand the larger translational science ecosystem. The development of these skills through translational science training opportunities, such as the translational science training offered by the NCATS intramural research program, prepares fellows for a variety of career options. The unique structure of the NCATS intramural program and the career outcomes of its alumni are described herein to demonstrate the distinct features of this training environment, the productivity of fellows during their time in training, and how this prepares fellows to be competitive for a variety of science careers. To date, the NCATS intramural research program has trained 213 people, ranging from high school to postdoctoral levels. These alumni have transitioned into a wide array of career functions, types, and sectors.

Keeping It Clean: The Cell Culture Quality Control Experience at the National Center for Advancing Translational Sciences.

Quality control monitoring of cell lines utilized in biomedical research is of utmost importance and is critical for the reproducibility of data. Two key pitfalls in tissue culture are 1) cell line authenticity and 2) Mycoplasma contamination. As a collaborative research institute, the National Center for Advancing Translational Sciences (NCATS) receives cell lines from a range of commercial and academic sources, which are adapted for high-throughput screening. Here, we describe the implementation of routine NCATS-wide Mycoplasma testing and short tandem repeat (STR) testing for cell lines. Initial testing identified a >10% Mycoplasma contamination rate. While the implementation of systematic testing has not fully suppressed Mycoplasma contamination rates, clearly defined protocols that include the immediate destruction of contaminated cell lines wherever possible has enabled rapid intervention and removal of compromised cell lines. Data for >2000 cell line samples tested over 3 years, and case studies are provided. STR testing of 186 cell lines with established STR profiles revealed only five misidentified cell lines, all of which were received from external labs. The data collected over the 3 years since implementation of this systematic testing demonstrate the importance of continual vigilance for rapid identification of "problem" cell lines, for ensuring reproducible data in translational science research.

The NCATS Pharmaceutical Collection: a 10-year update.

The National Center for Advancing Translational Sciences (NCATS) Pharmaceutical Collection (NPC), a comprehensive collection of clinically approved drugs, was made a public resource in 2011. Over the past decade, the NPC has been systematically profiled for activity across an array of pathways and disease models, generating an unparalleled amount of data. These data have not only enabled the identification of new repurposing candidates with several in clinical trials, but also uncovered new biological insights into drug targets and disease mechanisms. This retrospective provides an update on the NPC in terms of both successes and lessons learned. We also report our efforts in bringing the NPC up-to-date with drugs approved in recent years.

Acceleration of rare disease therapeutic development: a case study of AGIL-AADC.

Rare-disease drug development is both scientifically and commercially challenging. This case study highlights Agilis Biotherapeutics (Agilis), a small private biotechnology company that has developed the most clinically advanced adeno-associated virus (AAV) gene therapy for the brain. In an international collaboration led by Agilis with National Taiwan University (NTU) Hospital and the Therapeutics for Rare and Neglected Diseases (TRND) program of the National Center for Advancing Translational Sciences (NCATS) at the National Institutes of Health, Agilis' gene therapy for aromatic l-amino acid decarboxylase deficiency (AADC), AGIL-AADC, was granted biologics license application (BLA)-ready status by the FDA in 2018, only 18 months after being licensed from NTU by Agilis. Here, we highlight the factors that enabled this remarkable pace of successful drug development for an ultra-rare disease.