Complete mitogenome sequence analysis of an Indian Black Bengal goat, Capra hircus, and its phylogenetic consequences.

Capra hircus (Black Bengal goat) is a prized goat breed reared across the Southeast Asian region. Known for its excellent chevon quality and adaptability to hot and humid climates, it supports the livelihood of millions of farmers. The present study reveals the complete mitogenome of a Black Bengal goat of Indian origin utilizing a next-generation sequencing approach (GenBank acc. no.-MZ073671). This newly assembled whole mitochondrial genome (16,637 bp) is composed of a non-coding control region (D-loop region), two ribosomal RNA (rRNA genes), 13 protein-coding genes, and 22 transfer RNA (tRNA). Overall, the current mitogenome shares 99.77% sequence homology with previously reported mitogenomes of Capra hircus. The phylogenetic analysis inferred that the current mitogenome shares a close relationship with the Teressa goat breed of the Andaman and Nicobar Islands.

The artificial neural network selects saccharides from natural sources a promise for potential FimH inhibitor to prevent UTI infections.

The major challenge in the development of affordable medicines from natural sources is the unavailability of logical protocols to explain their mechanism of action in biological targets. FimH (Type 1 fimbrin with D-mannose specific adhesion property), a lectin on E. coli cell surface is a promising target to combat the urinary tract infection (UTI). The present study aimed at predicting the inhibitory capacity of saccharides on FimH. As mannosides are considered FimH inhibitors, the readily accessible saccharides from the PubChem collection were utilized. The artificial neural networks (ANN)-based machine learning algorithm Self-organizing map (SOM) has been successfully employed in predicting active molecules as they could discover relationships through self-organization for the ligand-based virtual screening. Docking was used for the structure-based virtual screening and molecular dynamic simulation for validation. The result revealed that the predicted molecules malonyl hexose and mannosyl glucosyl glycerate exhibit exactly similar binding interactions and better docking scores as that of the reference bioassay active, heptyl mannose. The pharmacokinetic profile matches that of the selected bioflavonoids (quercetin malonyl hexose, kaempferol malonyl hexose) and has better values than the control drug bioflavonoid, monoxerutin. Thus, these two molecules can effectively inhibit type 1 fimbrial adhesin, as antibiotics against E. coli and can be explored as a prophylactic against UTIs. Moreover, this investigation can pave the way to the exploration of the potential benefits of plant-based treatments. Supplementary Information: The online version contains supplementary material available at 10.1007/s40203-024-00212-5.