Reprofiling of Octogenarian Antiviral Agent: A New Avenue Venture to Discover Viral Infection

Identification of a new drug molecule to a new target, specifically viral, bacterial, and fungal infection, is the prime focus of time immortal. The tridiagonal practice of drug discovery for emerging viral infection turned out to be a new venture to combat the morbidly and mortality of recent pandemics due to viral, bacterial, fungal, infection and infestation, the emerging number of viral infections day by day, the targeted therapy with the gap in assessment lead to reprofiling or repositioning available FDA-approved formulation give promising drug candidate for various infection specifically the current scenario of antiviral drug-reprofiling through drug designing approach, the emergence of resistance to existing antiviral drugs and re-emerging viral infections are the greatest challenges in antiviral drug discovery. The reprofiling approach is a worthy strategy to get the potent antiviral in brief span of time to overcome the challenges in antiviral therapy. The present chapter will be another representing the most promising results of reprofiling (Repositioning or repurposing) approach in the treatment of various infectious diseases

Seed Biology and Phytochemistry for Sustainable Future

The ranking of seeds represents remarkable transition phase for photosynthasis and sexual reproduction, this phase is complex & successful method for sexual reproduction in vascular plants. As we know that seed containe the genetic repository of past & potential for its perpetuation in the future. The dormancy in seeds induced by desciccation & the hormone abscisic acid (ABA) till the condition in growth become favorable. The well developed seeds eliminates requirement of water during sexual reproduction & allows fertilization events to occur over long distances. Germination of seeds in particular situation and season is determines the interaction between dormancy and relating factors like phytochemical development to give healthy bioactives, which strongly influence on the termination of dormancy or initiatin of germination and seedling in many plant species like photo-hormons, light, temperature, water, neutrients and mechanical cuse. Seeds of particular plants needs difreent pretreatment to give vigor seedlings even in production so far. The entiteled chapter represents amulgumation of agriculturists and life scientists. Recent significant progress has been endorsed in seed physiology to solve the practical issues constantly associated with the seeds. The aim & objective of this articale is to enlighten the reader, not only about the different aspects of the seed physiology it also includes the development of bioactive (secondary metabolites) in the healthy seeds. This resorce of pice will help researcher to sencitize about the type of healthy bioactive available in the shalls of seedlings. This could be the reason to isolate the biomolecules from a well evaluate seeds, seed evalution not only the sorce to get healthy crops in agricultural scince it also helps so for a phytochemist to get theuraputicaly active biomolecules, without destroying the nature, which could be the value added thought to combat with the burning issues associated with the existing situation (COVID Omicron, viral infection and all kinds of disorder associated with the immune system). Henceforth, endorsed personage to give real-time attention to plant propagation, particularly for indigenous tree species and seedling multiplication should be regarded as a primary need to make not only a sustainable environment but also become a treasure to fulfill the needs of industry application in the field of agriculture plus R & D

Fundamental Principles to Address Green Chemistry and Green Engineering for Sustainable Future

The background of green chemistry represents the dramatic module of a new millennium, the substantiable chemical process steam for evaluation in designing phase to incorporate the principles of GC (Green Chemistry) in 1990s. there has been a tremendous success in developing a new product and process which are more compatible with biological, zoological and botanical perspective to illuminate the sustainability goal, this chapter represents the simplified way to lookout different approach adopted in GC-research, the methodology enhance the chemical process economics, concomitant which deduct the environmental burden. This review merely focusing on eco-friendly protocol which replace the traditional method of synthesis followed in chemistry to synthesize lifesaving drugs, with prevention outgoing waste from industries. GC and chemical engineering or green engineering (GE) should produce eco-friendly chemical process for drug design which likely to be spread rapidly in next few decades. This chapter explains in-depth and compact with detailed glimpse of environment friendly-protocol and principle bridging continent and scientific discipline to create new solution

Emerging of artificial intelligence and technology in pharmaceuticals: review

Abstract Background The review covers a variety of Artificial intelligence (AI) related topics in medication development. Additionally, it gives a quick account of the recent advances made in drug development by the pharmaceutical industry in cooperation with various AI. All facts of science have been impacted by advances in computing and technology. In all fields of science and technology, from fundamental engineering to medicine, AI has become a crucial component. AI has so influenced pharmaceutical chemistry and health care. Main body The use of computers to assist in drug creation has overtaken more conventional approaches in recent years. AI is frequently utilised to reduce the amount of time and improve drug design processes. The success rate of the developed medicine is further increased by the ease with which the target proteins may be discovered utilising AI. Every step of the medication design process involves the use of AI technology, which lowers the cost and greatly lowers the health hazards related to preclinical studies. AI is a powerful data mining technique that is based on vast amounts of pharmaceutical data and the machine learning process. Conclusion The use of AI in de novo drug design, activity scoring, virtual screening, and In silico evaluation of drug molecule characteristics is the consequence (absorption, distribution, metabolism, excretion, and toxicity). To speed up drug research and the healthcare system, pharmaceutical companies have joined with AI firms