https://jfiu.fiu.edu.bd/ JFIU ● 2021 | Page 7 Original Contribution Artificial Intelligence for Microbial Rubber Modification: Bridging IT and Biotechnology Kanaka Rakesh Varma Kothapalli 1 , Jayadip GhanshyamBhai Tejani 2 , Rajani Pydipalli 3 Keywords: Artificial Intelligence, Microbial Rubber Modification, Smart Rubber Production, AI in Biotechnology, Microbial Engineering, Bioinformatics, Sustainable Rubber Synthesis, Computational Biology Applications Journal of Fareast International University [ISSN 2519-9951] Volume 4, Issue 1, 2021 [Pages 7-16] This study investigates the integration of biotechnology and artificial intelligence (AI) to improve microbial rubber modification. The goal is to create rubber production methods that are efficient, adaptable, and sustainable. Among the primary goals are utilizing AI to anticipate microbial metabolic pathways, optimize genetic engineering, and expedite high-throughput screening of genetic variants. To provide a comprehensive understanding of microbial rubber biosynthesis, the methodology combines experimental findings with computational models and entails a thorough analysis of secondary data sources. Important discoveries show that genetic alterations and metabolic pathway predictions made with AI-driven predictive modeling are far more accurate, which speeds up the creation of optimized microbial strains. AI also improves bioprocess parameter optimization, which raises output and improves resource efficiency. However, some issues must be resolved, like the difficulty of data integration, the scalability of AI models, and interdisciplinary cooperation. The policy implications underscore the need for robust regulatory frameworks to guarantee safety, ethical adherence, and environmental sustainability. Additionally, they stress the need to foster cooperative research endeavors and provide financial support for multidisciplinary studies. This study highlights how AI may bridge the gap between biotechnology and IT, enabling improvements in industrial rubber production and fostering a sustainable future. INTRODUCTION The combination of biotechnology and information technology (IT) has produced ground-breaking developments in several sectors in recent years. The use of artificial intelligence (AI) to modify microbial rubber is one such field that is developing quickly. Rubber is an essential industrial material with a wide range of applications, and the junction of these two ideas could revolutionize its manufacture and qualities (Tejani, 2017). 1 Consultant, Yotta Systems Inc., New Jersey, USA [kanaka.rakesh.kothapalli@gmail.com] 2 Industrial Chemist, National Rubber Corporation, Canonsburg, PA, USA [Jayadiptejani91@gmail.com] 3 Statistical Programmer, Statistical Programming FC Department, Gilead Sciences, USA [pydipallirajani@gmail.com] Rubber is a naturally occurring polymer mainly obtained from the latex of rubber trees. It has long been essential to many industries, such as the automotive, aerospace, and healthcare sectors. However, traditional methods of producing rubber have drawbacks, including scarce supplies, environmental issues, and the requirement for lengthy processing to get the required qualities. Researchers have resorted to microbial rubber production to solve these constraints, using microorganisms' metabolic capacities to biosynthesize polymers that resemble rubber (Pydipalli, 2018).