Computational biology has proved to be a valuable technique and has helped answer major biological questions and breakthroughs over the years. The usage of computational tools and methods in biology, ecology, agriculture and medicine has advanced phenomenally in recent decades. Computational biology covers various approaches, such as molecular evolution, molecular modeling and simulation, systems biology, machine learning, artificial intelligence, data analytics/mining, bio/medical informatics. The enhanced usage of molecular dynamic simulations and related bioinformatic tools have helped answer significant questions about biomolecular interaction and their structural-functional identity from individual molecules to complex states. Moreover, artificial intelligence, machine learning and data analytics in the field of biosciences and bioengineering have proved valuable, and opened substantial research opportunities. From atomic-level details of biomolecular interactions to their impact on the organizational level of a cell/organism can be targeted with the help of such biocomputational approaches. This session provides a platform for discussing various advancements in computational tools and techniques in various branches of biology and medicine including agricultural sciences. Submissions on novel developments, innovative applications, and discussion of strengths and shortcomings of such computational approaches in biological systems are encouraged. Moreover, qualitative studies and the design of experiments addressing future research directions, challenges, and efficiency of computational models are also welcomed.
Key topics: Molecular evolution and systems biology, Molecular modelling and simulation, Artificial Intelligence/Machine learning/Data analytics, Bio/Medical informatics