Annotating protein sequences according to their biological functions is one of the key steps in understanding microbial diversity, metabolic potentials and evolutionary histories. However, even in the best-studied prokaryotic genomes, not all proteins can be characterized by classical in vivo, in vitro, and/or in silico methods—a challenge rapidly growing alongside the advent of Next Generation Sequencing technologies and their enormous extension of ‘omics’ data in public databases. These so-called hypothetical proteins (HPs) represent a huge knowledge gap and hidden potential for biotechnological applications. Opportunities for leveraging the available ‘Big Data’ have recently proliferated with the use of artificial intelligence (AI). Here we review the aims and methods of protein annotation and explain the different principles behind machine and deep learning algorithms including recent research examples, in order to assist both biologists wishing to apply AI tools in developing comprehensive genome annotations and computer scientists who want to contribute to this leading edge of biological research.

Food packaging is used worldwide and is a common technique for protecting food safety and quality while increasing shelf life. Environmental issues caused by using polymers in packaging derived from petroleum are becoming more significant and more well‐known. Interest in ecofriendly packaging materials made of renewable resources (biopolymers) has steadily increased, particularly for temporary and throw‐away packaging applications. However, biopolymers frequently have poor processability, poor mechanical, and poor barrier characteristics, restricting their industrial application and scalable manufacturing. Researchers have created bionanocomposites with improved packaging qualities like antibacterial function, mechanical toughness, optical clarity, and gas and water barrier properties to overcome these restrictions. This review seeks to inform readers about recent advances in active food packaging that use biopolymers and bionanocomposite materials. The difficulties and possibilities presented by such resources for the food packaging sector have been examined. This review is timely given the recent spike in interest in research projects both in academia and industry seeking to create a new group of materials for packaging based on biopolymer for food with potential uses elsewhere.

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This paper analyze how we should respond to possible asset price bubbles, especially in view of the various conceptual frameworks proposed based on a core set of scientific principles for monetary policy. Further, efforts have also been made at my end to establish as to how Monetary policy should not react to asset price bubbles per se, but rather to changes in the outlook for inflation and aggregate demand resulting from asset price movements. However, regulatory policies and supervisory practices should respond to possible asset price bubbles and help prevent feedback loops between asset price bubbles and credit provision, thereby minimizing the damaging effects of bubbles on the economy.The general massage of this paper is that credit conditions influence economies enormously and emergency steps to restructure balance sheets through policy revamping are crucial for fixing problems of excessive leverage. This stands in sharp contrast to the view from conventional models - that 'the effects of a worsening of financial intermediation are likely to be limited' and can be handled by interest rate cuts alone.In the alternative regulatory policy approach, we have strived to examine three possible regulatory responses to managing bubbles: portfolio restrictions; adjustments in capital requirements; and adjustments in provisioning requirements.JEL Classification: E58, E63, G15Keywords:financial crisis, asset price bubble.