Isolation, identification, and in silico characterisation of antimicrobial peptides from mangrove plants, Suaeda nigra and Suaeda maritima

Infectious diseases continue to be the primary cause of death, representing a significant public health issue globally. While antibiotics are an effective remedy, bacterial infections have developed resistance to these drugs, resulting in antibiotic treatment failure. Hence there is a quest for novel antibacterial agents from natural sources, including plants and other creatures. Plants possess the tendency to synthesise substances to defend themselves from challenging surroundings. This has prompted the investigation of antimicrobial peptides that are commonly derived and possess strong efficacy against pathogens. Moreover, the utilisation of mangroves in traditional medicine is garnering significant attention due to its reputation as an exceptional reservoir of bioactive substances for the treatment of cancer, diabetes, and others. Therefore, the current study concentrated on identifying the antimicrobial peptides from Suaeda nigra and Suaeda maritima. The analysis of leaf proteomes in S. nigra and S. maritima showed that the 15 and 20 KDa peptides exhibited strong antimicrobial activity, which were identified as Alpha-2-purothionin precursor and Vicin-like antimicrobial peptides-2-2-like proteins. The physicochemical characterization of Alpha-2-purothionin and Vicin-like antimicrobial peptides shows respective molecular weights of 14557.8 and 16353.78 Da. As well as their pI values were calculated as 5.13 and 6.11. The 3D structural analysis revealed that the Alpha-2-purothionin precursor and Vicin-like antimicrobial peptides showed an accurate model more similar to the templates PDB ID: 1nbl and PDB ID: 1fxzA. This study concluded that the identified proteins have significant antimicrobial potential against bacterial and fungal species, and their predicted structures were reliable

A REPORT ON THE OCCURRENCE OF SOME ENDOPARASITIC HELMINTHS IN SELECTED FISH SPECIES OF TENALI, GUNTUR DISTRICT, ANDHRA PRADESH, INDIA

The study was conducted to investigate the occurrence of parasites in selected fish species of Tenali region, Guntur District, Andhra Pradesh. A total of 174 fish specimens including Anabas oligolepis Bleeker, Catla catla Hamilton, Channa punctatus Bloch, Cirrhinus mrigala Linnaeus, Labeo rohita Hamilton and Mastacembelus armatus Lacepede were examined for the parasites from 2009-2010. Only three species, Genarchopsis goppo Ozaki, 1925; Camallanus sp. from Channa punctatus and a metacercaria of Clinostomum gideoni Bhalerao, 1942 from Anabas oligolepis were obtained. The other four fish species showed no infection with the helminths. The present study reveals that parasite diversity of freshwater fishes in this area is very poor and might be due to the nutritive habitat and healthy nature. &nbsp

Supporting Internet-Scale Multi-Agent Systems

Although current research on agent systems focuses on relatively small-scale agent systems, soon vast numbers of agents will be deployed in large-scale agent systems, e.g. on the Internet. Large-scale agent systems need to be extensible

Examining the generalizability of research findings from archival data

This initiative examined systematically the extent to which a large set of archival research findings generalizes across contexts. We repeated the key analyses for 29 original strategic management effects in the same context (direct reproduction) as well as in 52 novel time periods and geographies; 45% of the reproductions returned results matching the original reports together with 55% of tests in different spans of years and 40% of tests in novel geographies. Some original findings were associated with multiple new tests. Reproducibility was the best predictor of generalizability—for the findings that proved directly reproducible, 84% emerged in other available time periods and 57% emerged in other geographies. Overall, only limited empirical evidence emerged for context sensitivity. In a forecasting survey, independent scientists were able to anticipate which effects would find support in tests in new samples