Objective: To quantify and characterize biopharmaceutical agents and new indications in late-stage development in the United States as of May 2006.
Study Design: Review of drug development databases and other secondary sources.
Methods: Biopharmaceutical was defined as "any biology-based therapeutic that structurally mimics compounds found within the body." Unique biopharmaceuticals, including new molecular entities or new indications in phase 2 or higher development, were identified and characterized through reviews of the literature, 5 drug development databases, a clinical trial database, and telephone inquiries with manufacturers.
Results: As of May 2006, there were 111 unique biopharmaceuticals in late-stage development for 190 indications. Of 111 unique agents in the pipeline, 87 are new molecular entities, and 24 are already approved for other indications. Overall, 38 disease categories were targeted, and at least 33 physician specialties are likely to be affected. The greatest proportion of agents (43 biopharmaceuticals and 83 indications) target cancer. More than 70% of agents in the pipeline will require administration by a healthcare provider. More than 50% of the indications in the pipeline will require long-term (chronic) treatment (defined as >1 year and excludes cancer).
Conclusions: The steady growth of the US biopharmaceutical pipeline and consequent anticipated near-term approvals will increasingly affect third-party portfolio decision making. Cost of therapy, identifying the right drug for the right patient, and outcomes-based value should drive that decision process.
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Nat Biotechnol
January 2025
Institute for Intelligent Biotechnologies (iBIO), Helmholtz Center Munich, Neuherberg, Germany.
Efficient and accurate nanocarrier development for targeted drug delivery is hindered by a lack of methods to analyze its cell-level biodistribution across whole organisms. Here we present Single Cell Precision Nanocarrier Identification (SCP-Nano), an integrated experimental and deep learning pipeline to comprehensively quantify the targeting of nanocarriers throughout the whole mouse body at single-cell resolution. SCP-Nano reveals the tissue distribution patterns of lipid nanoparticles (LNPs) after different injection routes at doses as low as 0.
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Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Purpose: To describe the development of INSIGHT, a real-world data quality tool to assess completeness, consistency, and fitness-for-purpose of observational health data sources.
Methods: We designed a three-level pipeline with data quality assessments (DQAs) to be performed in ConcePTION Common Data Model (CDM) instances. The pipeline has been coded using R.
Adv Sci (Weinh)
January 2025
Department of Chemistry, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
Machine learning interatomic potentials (MLIPs) promise quantum-level accuracy at classical force field speeds, but their performance hinges on the quality and diversity of training data. An efficient and fully automated approach to sample chemical reaction space without relying on human intuition, addressing a critical gap in MLIP development is presented. The method combines the speed of tight-binding calculations with selective high-level refinement, generating diverse datasets that capture both equilibrium and reactive regions of potential energy surfaces.
View Article and Find Full Text PDFHortic Res
January 2025
Metabolic engineering and Synthetic Biology Laboratory, Department of Natural Products, National Institute of Pharmaceutical Education and Research, S.A.S Nagar 160062, Punjab, India.
Triterpene (C30 isoprene compounds) represents the most structurally diverse class of natural products and has been extensively exploited in the food, medicine, and industrial sectors. Decades of research on medicinal triterpene biosynthetic pathways have revealed their roles in stress tolerance and shaping microbiota. However, the biological function and mechanism of triterpenes are not fully identified.
View Article and Find Full Text PDFJ Immunother Cancer
January 2025
Sharett Institue of Oncology, Hadassah Hebrew University Medical Center, Jerusalem, Israel.
Introduction: Immune checkpoint inhibitors (ICI) have improved outcomes in non-small cell lung cancer (NSCLC). Nevertheless, the clinical benefit of ICI as monotherapy or in combination with chemotherapy remains widely varied and existing biomarkers have limited predictive value. We present an analysis of ENLIGHT-DP, a novel transcriptome-based biomarker directly from histopathology slides, in patients with lung adenocarcinoma (LUAD) treated with ICI and platinum-based chemotherapy.
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