Publications
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August 13, 2020
Structures of Endocrine-Disrupting Chemicals Determine Binding to and Activation of the Estrogen Receptor α and Androgen Receptor
Endocrine-disrupting chemicals (EDCs) can interact with nuclear receptors, including estrogen receptor α (ERα) and androgen receptor (AR), to affect the normal endocrine system function, causing severe symptoms. Limited studies queried…
Journal: Environmental Science and Technology
June 25, 2020
Advanced bioinformatics rapidly identifies existing therapeutics for patients with coronavirus disease-2019 (COVID-19)
The recent global pandemic has placed a high priority on identifying drugs to prevent or lessen clinical infection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), caused by Coronavirus disease-2019…
Journal: Journal of Translational Medicine
June 12, 2020
Quantitative Structure–Activity Relationship Models for Predicting Inflammatory Potential of Metal Oxide Nanoparticles
Although substantial concerns about the inflammatory effects of engineered nanomaterial (ENM) have been raised, experimentally assessing toxicity of various ENMs is challenging and time-consuming. Alternatively, quantitative structure–activity relationship (QSAR) models…
Journal: Environmental Health Perspectives
May 26, 2020
Deep immune profiling of patients treated with lenalidomide and dexamethasone with or without daratumumab
CD38-targeted antibody, daratumumab, is approved for the treatment of multiple myeloma (MM). Phase 1/2 studies GEN501/SIRIUS revealed a novel immunomodulatory mechanism of action (MOA) of daratumumab that enhanced the immune…
Journal: Leukemia
May 21, 2019
Advances in Computational Toxicology – Methodologies and Applications in Regulatory Science
Excerpt from Chapter 1 – Computational Toxicology Promotes Regulatory Science: New tools have become available to researchers and regulators including genomics, transcriptomics, proteomics, machine learning, artificial intelligence, molecular dynamics, bioinformatics,…
March 19, 2019
Realizing the promise of computational prediction in toxicology applications
Toxicant screening is only as efficient and effective as the underlying methods. Unfortunately, chemical toxicity screening is predominated by slow, laborious, and costly methods some of which raise ethical concerns….
Similarities and differences between variants called with human reference genome HG19 or HG38
Reference genome selection is a prerequisite for successful analysis of next generation sequencing (NGS) data. Current practice employs one of the two most recent human reference genome versions: HG19 or…
January 15, 2019
Computational prediction models for assessing endocrine disrupting potential of chemicals
Endocrine disrupting chemicals (EDCs) mimic natural hormones and disrupt endocrine function. Humans and wildlife are exposed to EDCs might alter endocrine functions through various mechanisms and lead to an adverse…
Journal: Journal of Environmental Science and Health, Part C Environmental Carcinogenesis and Ecotoxicology Reviews
January 11, 2019
Computational prediction models for assessing endocrine disrupting potential of chemicals
Endocrine disrupting chemicals (EDCs) mimic natural hormones and disrupt endocrine function. Humans and wildlife are exposed to EDCs might alter endocrine functions through various mechanisms and lead to an adverse…
May 30, 2018
Physicochemical, biological, functional and toxicological characterization of the European follow-on glatiramer acetate product as compared with Copaxone
For more than 20 years, Copaxone (glatiramer acetate, Teva), a non-biological complex drug, has been a safe and effective treatment option for multiple sclerosis. In 2016, a follow-on glatiramer acetate…
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