ABSTRACT
In-silico Computer-Aided Drug Design (CADD) significantly relies on cybernetic screening of Plant Based Natural Products (PBNPs) as a prime source of bioactive compounds/ drug leads due to their unique chemical structural scaffolds and distinct functional characteristic features amenable to drug design and development. In the Post-COVID-Era a large number of publications have focused on PBNPs. Moreover, PBNPs still remain as an ideal source of novel therapeutic agents of GRAS standard. However, a well-structured, in-depth ADME/Tox profile with deeper dimensions of PBNPs has been lacking for many of natural pharma lead molecules that hamper successful exploitation of PBNPs. In the present study, ADMET-informatics of Octadecanoic Acid (Stearic Acid - SA) from ethyl acetate fraction of Moringa oleifera leaves has been envisaged to predict ADMET and pharmacokinetics (DMPK) outcomes. This work contributes to the deeper understanding of SA as major source of drug lead from Moringa oleifera with immense therapeutic potential. The data generated herein could be useful for the development of SA as plant based natural product lead (PBNPL) for drug development programs.
ABSTRACT
Theoretical Framework:During Covid-19, IndCzech invented numerous digital business transformations to maintain its sustainability in the global economy. IndCzech's digital innovations (New normal) through online safety study workshops, business meetings, Factory Acceptance test, 3D Model review, Design review, Quality audit, project implementation and business transformation through work sharing possibilities in different places, integrated work culture, changes in native infrastructure have been analyzed the possibilities to implement. Based on the study, conceptual model proposes with Digital innovation, Business Transformation, Emotional Resilience, Challenges in workplace and Organizational growth. Design / Methodology/approach:129 agile leaders in the workplace in MSME sector data's were collected through questionnaire and data analyzed with descriptive analysis, t-test, one way ANOVA, Correlation analysis, Regression analysis through SPSS and SEM model through SPSS AMOS. Copyright © 2022 by Animal Bioscience.
ABSTRACT
In-silico Computer-Aided Drug Design (CADD) often comprehends virtual screening (VS) of datasets of natural pharmaco-active compounds for drug discovery protocols. Plant Based Natural Products (PBNPs) still, remains to be a prime source of pharmaco-active compounds due to their unique chemical structural scaffolds and functionalities with distinct chemical characteristic feature from natural source that are much acquiescent to drug metabolism and kinetics. In the Post-COVID-Era number of publications pertaining to PBNPs and publicly accessible plant based natural product databases (PBNPDBs) has significantly increased. Moreover, PBNPs are important sources of inspiration or starting points to develop novel therapeutic agents. However, a well-structured, indepth ADME/Tox profile of PBNPs has been limited or lacking for many of such compounds, this hampers the successful exploitation of PBNPs by pharma industries. Absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties play key roles in the discovery/ development of drugs, pesticides, food additives, consumer products, and industrial chemicals. In the present study, ADMET-informatics of Tetradecanoic Acid (Myristic Acid) from ethyl acetate fraction of Moringa oleifera leaves to predict drug metabolism and pharmacokinetics (DMPK) outcomes has been taken up. This work contributes to the deeper understanding of Myristic acid as major source of drug from commonly available medicinal plant - Moringa oleifera with immense therapeutic potential. The data generated herein could be useful for NP based lead generation programs.
ABSTRACT
Quercetin (3,3',4',5,7-Pentahydroxyflavone) is the one among the bioactive secondary metabolite (BASM) in neem seed of Azadirachta indica A. Juss. Quercetin (Que) and its derivatives hold promising pharmacological effects. Antidiabetic, anti-inflammatory, antioxidant, antimicrobial, anti-Alzheimer's, antiarthritic, cardiovascular, and wound-healing effects of Que have been extensively investigated, recently lot of work has been carried out on its anticancer activity against different cancer cell lines. Recently, in silico/in vitro studies have demonstrated that Que interferes with different stages of coronavirus entry and replication cycle (PLpro, 3CLpro, and NTPase/helicase). Due to its pleiotropic effects in human health and disease and lack of systemic toxicity, Que and its derivatives could be tested for their efficacy on human target system in future clinical trials. In the present study, an attempt has been made to evaluate the physicochemical, druggable properties of Que from A. indica to prospect its ADMET properties.
ABSTRACT
An investigation into the incidence of mycotoxins in the poultry feed was made near VUTRC, Melmaruvathur, Tamil Nadu. The lesions were suggestive of mycotoxin toxicity based on history, clinical findings, postmortem lesions, analysis of feed materials by TLC and it was confirmed as citrinin, aflotoxins B1 and combined toxins for the first time in Melmaruvathur region. Affected birds were kept in isolation and treated with supportive therapy with vitamins, and electrolyte orally. Birds were fed commercially available mycotoxins binders and the mortality was controlled within two days of the control measures.