Krishna Venkatarama Sharma

This study constructs computational adverse outcome pathways for organic mercury toxicity in fish using an integrative network-based framework and curated toxicological data.

This paper introduces ReCAnt, a resource compiling data on 690 aquaculture chemicals and their ecotoxicity, highlighting regulatory gaps and environmental fate.

This study uses network toxicology to analyze the toxic effects of inorganic arsenic and cadmium on human and ecosystem health, identifying 51 and 78 adverse outcome pathways respectively.

This paper creates a database of tattoo ink chemicals and their toxicities, identifying hazardous substances and regulatory coverage.

This study uses network-based frameworks to assess the ecotoxicological effects of petroleum hydrocarbons and their risks to aquatic ecosystems.

This study constructs a stressor-centric adverse outcome pathway network for plastic additives using toxicogenomic data, identifying 1287 additive-AOP associations and demonstrating their utility for risk assessment.

This study constructs the first adverse outcome pathway network for inorganic cadmium toxicity by integrating data from multiple sources and analyzing key events and relationships.