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The marine food‐processing industries were producing large quantities of shell wastes as a discard. Currently, this waste material was underutilized and leads to the landfill as a significant environmental issue. The outer shells or exoskeletons of mollusks serve as the best source of chitin. Three different allomorphs of chitin (γ, β, and γ) were extracted from different species of crustaceans, mollusks, and fungi. β‐Allomorphs predominantly exist in the shells of mollusks. β‐Chitin and its deacetylated product chitosan has been utilized for its special characteristic features, including biocompatibility, environmental friendly, and nontoxic properties. The extraction of β‐chitin and chitosan from the mollusk shell waste were evaluated in this work. Hence, this review aims to explore edible mollusk shell waste sources and its suitable extraction techniques, characterizations, and functional properties of mollusk‐based β‐chitin and chitosan. Further, the genetic pathway of synthesizing mollusk chitin was discussed. The entire life cycle assessment with techno‐economic aspects were extrapolated to study the bottlenecks and tangible solution for the industrial upscaling of obtaining β‐chitin and chitosan from the edible mollusk shell waste have been reviewed herein. This review explores the edible mollusk shell waste sources and its suitable extraction techniques, characterizations, and functional properties of β‐chitin and chitosan. Further, the genetic pathway of synthesizing mollusk chitin and chitosan was discussed. The entire life cycle assessment with techno‐economic aspects were extrapolated to study the bottlenecks and tangible solution for the industrial upscaling of obtaining β‐chitin and chitosan from the edible mollusk shell waste have been reviewed.

Itaconic acid has emerged as a promising metabolite in cancer biology as a naturally occurring dicarboxylic acid synthesized by the immune response gene (IRG1). The molecular relationship between itaconic acid and lung cancer targets remains poorly understood, highlighting the need for computational analysis. This study investigates the binding potential, pharmacokinetic properties, and dynamic stability of itaconic acid against key lung cancer proteins through in silico analysis using Schrödinger software. The results exhibited that among the key lung cancer targets, two proteins (KRAS & PPARG) indicated the strongest binding affinities with docking scores of −6.679 and −6.172, respectively. In addition, the physicochemical and ADMET analysis revealed favourable drug safety characteristics. The molecular dynamics simulations were performed for 500 ns and demonstrated a stable protein-ligand complex with no structural disruptions and confirmed hydrogen bonding and hydrophobic contacts. These findings indicate that itaconic acid interacts with key lung cancer proteins and future studies should focus on molecular optimization and experimental validation to validate the potential of itaconic acid as a lead molecule for anticancer drug development.