Protein structural and sequence analysis of human ACE2 using prediction and modeling bioinformatics tools for diagnostics biomarkers and drug design features: an opinion study path

Angiotensin converting enzyme-2 receptor (ACE2) present on human cell membrane surfaces is a critical receptor for binding of SARS-CoV-2 to invade cells. Severe burden of recent COVID-19 pandemic was of global public health importance. Using bioinformatics tools, protein sequence and structural features of ACE2 protein can be obtained. Protein sequences can be compared with structures of ACE2 proteins from same individuals (or patients) of different clinical status. This can either be from data obtained from disease states or already deposited annotated data. Then assess for effectiveness of a pool of bio-molecular attributes such structural neighbor profiles which help describe micro-environment of single amino polymorphisms (SAPs). Then engage predictive and modeling tools to predict key mutational loci- particularly involving SAPs and their functions in relation to disease states. Generated data can contribute to ontology, screens to identify biomarkers and open up paths to development of research protocols in therapeutics and diagnostics.