Physical models of living systems : probability, simulation, dynamics / Philip Nelson; ; with the assistance of Sarina Bromberg, Ann Hermundstad, Keith Kroma-Wiley, and Jason Prentice.

Format:

Book

Author/Creator:

Nelson, Philip Charles, author.

Bromberg, Sarina, author.

Hermundstad, Ann, author.

Kroma-Wiley, Keith, author.

Prentice, Jason, author.

Language:

English

Subjects (All):

Biology--Mathematical models--Textbooks.

Biology.

Biological systems--Mathematical models--Textbooks.

Biological systems.

Biological systems--Mathematical models.

Biology--Mathematical models.

Genre:

Textbooks.

Physical Description:

xxiv, 466 pages : color illustrations ; 26 cm

Edition:

Second edition.

Place of Publication:

Philadelphia, PA : Chiliagon Science, 2022.

Summary:

"Physical models of living systems first develps the frameworks needed to understand modern ideas about inference from data, as they relate to biological physics research. Later chapters develop stochasti stimulation as a tool to handle more complex systems, and then dynamical systems theory applied to cellular control networks, both natural and synthetic. Along the way, you'll also see the foundations of revolutionary advances in imaging (superresolutiona dn cryo-electron microscopy), along with epidemic modeling, micanobiology, excitable media, and more. The text also has significant overlap with competencies covered in the MCAT exam. Dozens of problems at all levels, many of them new in this edition, will help you to gain simulation and data visualization skills useful in any branch of quantitatvie science research."--Back cover.

Contents:

First steps. Virus dynamics

Physics and biology

Randomness in biology. Discrete randomness

Some useful discrete distributions

Continuous distributions

Random walks on an energy landscape

Model selection and parameter estimation

Excursion : single particle reconstruction in cryo-electron microscopy

Poisson processes and their simulation

Randomness in cellular processes

Feedback control. Negative feedback control

Positive feedback, epidemics, and genetic switches

Cellular oscillators

Nonlinear, stochastic dynamical systems. Demographic variation in epidemic spread

Bet-hedging via stochastic, excitable dynamics.

Notes:

"CEMB, Center for Engineering MechanoBiology"--Back cover.

Includes bibliographical references and index.

ISBN:

9781737540243

173754024X

OCLC:

1286432698