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Alternaria  blight is an important foliage disease caused by  Alternaria solani . The enzyme Succinate dehydrogenase (SDH) is a potential drug target because of its role in tricarboxylic acid cycle. Hence targeting  Alternaria solani  SDH enzyme could be efficient tool to design novel fungicides against  A. solani . We employed computational methodologies to design new SDH inhibitors using homology modeling; pharmacophore modeling and structure based virtual screening. The three dimensional SDH model showed good stereo-chemical and structural properties. Based on virtual screening results twelve commercially available compounds were purchased and tested  in vitro  and  in vivo . The compounds were found to inhibit mycelial growth of  A. solani . Moreover  in vitro  trials showed that inhibitory effects were enhanced with increase in concentrations. Similarly increased disease control was observed in pre-treated potato tubers. Hence the applied  in silico  strategy led us to identify novel fungicides.

Discovering Novel Alternaria solani Succinate Dehydrogenase Inhibitors by in Silico Modeling and Virtual Screening Strategies to Combat Early Blight