Accelerated Repurposing and Drug Development of Pulmonary Hypertension Therapies for COVID-19 Treatment Using an AI-Integrated Biosimulation Platform.
Kaushik ChakravartyVictor G AntontsevMaksim KhotimchenkoNilesh GuptaAditya JagarapuYogesh BundeyHypatia HouNeha MaharaoJyotika VarshneyPublished in: Molecules (Basel, Switzerland) (2021)
The COVID-19 pandemic has reached over 100 million worldwide. Due to the multi-targeted nature of the virus, it is clear that drugs providing anti-COVID-19 effects need to be developed at an accelerated rate, and a combinatorial approach may stand to be more successful than a single drug therapy. Among several targets and pathways that are under investigation, the renin-angiotensin system (RAS) and specifically angiotensin-converting enzyme (ACE), and Ca2+-mediated SARS-CoV-2 cellular entry and replication are noteworthy. A combination of ACE inhibitors and calcium channel blockers (CCBs), a critical line of therapy for pulmonary hypertension, has shown therapeutic relevance in COVID-19 when investigated independently. To that end, we conducted in silico modeling using BIOiSIM, an AI-integrated mechanistic modeling platform by utilizing known preclinical in vitro and in vivo datasets to accurately simulate systemic therapy disposition and site-of-action penetration of the CCBs and ACEi compounds to tissues implicated in COVID-19 pathogenesis.
Keyphrases
- sars cov
- angiotensin converting enzyme
- coronavirus disease
- pulmonary hypertension
- angiotensin ii
- respiratory syndrome coronavirus
- artificial intelligence
- pulmonary artery
- high throughput
- pulmonary arterial hypertension
- mesenchymal stem cells
- cell therapy
- stem cells
- drug delivery
- mass spectrometry
- high resolution
- rna seq
- drug induced