In silico screening of potential plant peptides against the non-structural proteins of dengue virus.

Background Objectives: Peptides isolated from different sources of plants have the advantages of specificity, lower toxicity, and increased therapeutic effects; hence, it is necessary to search for newer antivirals from plant sources for the treatment of dengue viral infections.

Methods: In silico screening of selected plant peptides against the non-structural protein 1, NS3 protease domain (NS2B-NS3Pro) with the cofactor and ATPase/helicase domain (NS3 helicase domain/NS3hel) of dengue virus was performed. The physicochemical characteristics of the peptides were calculated using Protparam tools, and the allergenicity and toxicity profiles were assessed using allergenFP and ToxinPred, respectively.

In silico screening of potential plant peptides against the Non-structural proteins of Dengue virus.

Background Objectives: Peptides isolated from different sources of plants have the advantages of specificity, lower toxicity, and increased therapeutic effects; hence, it is necessary to search for newer antivirals from plant sources for the treatment of dengue viral infections.

Methods: In silico screening of selected plant peptides against the non-structural protein 1, NS3 protease domain (NS2B-NS3Pro) with the cofactor and ATPase/Helicase domain (NS3 helicase domain/NS3hel) of Dengue virus was performed. The physicochemical characteristics of the peptides were calculated using Protparam tools, and the allergenicity and toxicity profiles were assessed using allergenFP and ToxinPred, respectively.

In silico screening of plant peptides against the envelope protein of dengue virus.

Peptide therapeutics are found to be an emerging and attractive class of treatment due to their highly specific and safe nature. Hence twenty plant peptides were subjected to screening by molecular docking against the envelope protein of the dengue virus using Clus Pro, Patch Dock, and HADDOCK servers. Physicochemical parameters, allergenicity, and toxicity profile of the plant peptides were estimated by Protparam analysis, AllergenFP, and ToxinPred web servers.

GBS-Based SNP Map Pinpoints the QTL Associated With Sorghum Downy Mildew Resistance in Maize ( L.).

Sorghum downy mildew (SDM), caused by the biotrophic fungi threatens maize production worldwide, including India. To identify quantitative trait loci (QTL) associated with resistance to SDM, we used a recombinant inbred line (RIL) population derived from a cross between resistant inbred line UMI936 (w) and susceptible inbred line UMI79. The RIL population was phenotyped for SDM resistance in three environments [E1-field (Coimbatore), E2-greenhouse (Coimbatore), and E3-field (Mandya)] and also utilized to construct the genetic linkage map by genotyping by sequencing (GBS) approach.

Nontuberculous mycobacteria - clinical and laboratory diagnosis: experiences from a TB endemic country.

Aim: To evaluate the performance of VITEKMS with DNA sequencing for laboratory diagnosis of non-tuberculous mycobacteria (NTM) species in a resource-limited setting.

Methods: sequencing and MALDI-TOF mass spectrometry (VITEKMS) was performed at a tertiary-care hospital in India. MALDI-TOF results were confirmed by 16S rRNA sequencing.