A New Kind of Computational Biology (PDF)
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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 rulesand 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'.Soumyabrata Ghosh is the Founder & Director of Research at CARLBio. He received his PhD degree from IIEST (Indian Institute of Engineering Science and Technology, Shibpur, formerly Bengal Engineering and Science University ). He did his MSc in Biophysics and Bioinformatics from University of Calcutta. He has more than 10 years of industrial experience in the field of data analytics, machine learning, and computational biology. His research interest includes predictive analytics, cognitive computing and AI.
Adip Dutta is a Senior Researcher at CARLBio. For more than thirty-three years, Adip Dutta has worked in diverse domains - developing algorithms, smart devices,sensor networks, power conversion,
Somshubhro (Som) Pal Choudhury is an investor, advisor and director at CARLBio. He is a Partner at Bharat Innovations Fund, a $100M fund focused on building disruptive and innovation led startups out of India. He is a thought leader in Internet of Things (IoT) space, formerly a board and executive council member of India Electronics and Semiconductor Association (IESA), co-founder and co-chair of India's premier IoT event, IoTNext and ecosystem building initiative, IoTForum. Som was previously the Managing Director for Analog Devices India, wholly owned subsidiary of a US based $3.5B semiconductor MNC, Analog Devices. He was based for almost 2 decades in Silicon Valley in various roles: Global Director of Product Mgmt and Marketing of Consumer Business Unit at NETGEAR, first employee of an early M2M/IoT company in the energy management and Smart grid space, American Grid and held several management and engineering roles at Cadence Design Systems. He is a Wharton-UPenn MBA, and engineering degrees from Indian Institute of Technology (IIT) Kharagpur and North Carolina State University.
- Autoren: Parimal Pal Chaudhuri , Soumyabrata Ghosh , Adip Dutta , Somshubhro Pal Choudhury
- 2018, 1st ed. 2018, 335 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 9811316392
- ISBN-13: 9789811316395
- Erscheinungsdatum: 26.09.2018
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- Grösse: 10 MB
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