This book reflects more than three decades of research on Cellular Automata (CA) and nearly a
decade of work on the application of CA to model biological strings which forms the foundation
of 'A New Kind of Computational Biology' pioneered by the start-up CARLBio. After a brief
introduction on Cellular Automata (CA) theory and functional biology it reports on the
modeling of basic biological strings with CA starting with the basic nucleotides leading to
codon and anti-codon CA models. It derives a more involved CA model of DNA RNA the entire
translation process for amino acid formation and the evolution of protein to its unique
structure and function. In subsequent chapters the interaction of Proteins with other
bio-molecules is also modeled. The only prior knowledge assumed necessary is an undergraduate
knowledge of computer programming and biology. The book adopts a hands-on do-it-yourself
approach to enable readers to apply the method provided to derive the CA rules and comprehend
how these are related to the physical 'rules' observed in biology. In a single framework the
authors have presented two branches of science - Computation and Biology. Instead of rigorous
molecular dynamics modeling which the authors describe as a Bottoms-Up model or relying on
the Top-Down new age Artificial Intelligence (AI) and Machine Language (ML) that depends on
extensive availability of quality data this book takes the best from both the Top-Down and
Bottoms-up approaches and establishes how the behavior of complex molecules is represented in
CA. The CA rules are derived from the basic knowledge of molecular interaction and construction
observed in biological world but mapped to a few subset of known results to derive and predict
results.This book is useful for students researchers and industry practitioners who want to
explore modeling and simulation of the physical world complex systems from a different
perspective. It raises the inevitable the question - 'Are life and the universe nothing but a
collection of continuous systems processing information'.
