Who's Afraid of Max Delbrück?
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Nicolas Rashevsky's Mathematical Biophysics
Journal of the History of Biology 37: 333–385, 2004. 333 Ó 2004 Kluwer Academic Publishers. Printed in the Netherlands. Nicolas Rashevsky’s Mathematical Biophysics TARA H. ABRAHAM Max Planck Institute for the History of Science Wilhelmstrae 44 10117 Berlin Germany E-mail: [email protected] Abstract. This paper explores the work of Nicolas Rashevsky, a Russian e´ migre´ the- oretical physicist who developed a program in ‘‘mathematical biophysics’’ at the Uni- versity of Chicago during the 1930s. Stressing the complexity of many biological phenomena, Rashevsky argued that the methods of theoretical physics – namely mathematics – were needed to ‘‘simplify’’ complex biological processes such as cell division and nerve conduction. A maverick of sorts, Rashevsky was a conspicuous figure in the biological community during the 1930s and early 1940s: he participated in several Cold Spring Harbor symposia and received several years of funding from the Rockefeller Foundation. However, in contrast to many other physicists who moved into biology, Rashevsky’s work was almost entirely theoretical, and he eventually faced resistance to his mathematical methods. Through an examination of the conceptual, institutional, and scientific context of Rashevsky’s work, this paper seeks to understand some of the reasons behind this resistance. Keywords: Mathematical biology, Neurophysiology, Nicolas Rashevsky, Physiology, Rockefeller Foundation, Theory, University of Chicago, Warren Weaver Introduction The migration of physicists into the biological sciences during the early 20th century has been a topic of interest in the history and philosophy of biology, with associated issues of the disciplinary authority of physics, the autonomy of biology, and the reduction of biological phenomena to physical terms.1 Most often, these migrations 1 The relationship between physics and biology has occupied Anglo-American phi- losophers of science in the 20th century, as they inherited a set of questions posed by logical positivists during the 1930s. -
Jewels in the Crown
Jewels in the crown CSHL’s 8 Nobel laureates Eight scientists who have worked at Cold Max Delbrück and Salvador Luria Spring Harbor Laboratory over its first 125 years have earned the ultimate Beginning in 1941, two scientists, both refugees of European honor, the Nobel Prize for Physiology fascism, began spending their summers doing research at Cold or Medicine. Some have been full- Spring Harbor. In this idyllic setting, the pair—who had full-time time faculty members; others came appointments elsewhere—explored the deep mystery of genetics to the Lab to do summer research by exploiting the simplicity of tiny viruses called bacteriophages, or a postdoctoral fellowship. Two, or phages, which infect bacteria. Max Delbrück and Salvador who performed experiments at Luria, original protagonists in what came to be called the Phage the Lab as part of the historic Group, were at the center of a movement whose members made Phage Group, later served as seminal discoveries that launched the revolutionary field of mo- Directors. lecular genetics. Their distinctive math- and physics-oriented ap- Peter Tarr proach to biology, partly a reflection of Delbrück’s physics train- ing, was propagated far and wide via the famous Phage Course that Delbrück first taught in 1945. The famous Luria-Delbrück experiment of 1943 showed that genetic mutations occur ran- domly in bacteria, not necessarily in response to selection. The pair also showed that resistance was a heritable trait in the tiny organisms. Delbrück and Luria, along with Alfred Hershey, were awarded a Nobel Prize in 1969 “for their discoveries concerning the replication mechanism and the genetic structure of viruses.” Barbara McClintock Alfred Hershey Today we know that “jumping genes”—transposable elements (TEs)—are littered everywhere, like so much Alfred Hershey first came to Cold Spring Harbor to participate in Phage Group wreckage, in the chromosomes of every organism. -
Max Ludwig Henning Delbruck (1906–1981) [1]
Published on The Embryo Project Encyclopedia (https://embryo.asu.edu) Max Ludwig Henning Delbruck (1906–1981) [1] By: Hernandez, Victoria Max Ludwig Henning Delbrück applied his knowledge of theoretical physics to biological systems such as bacterial viruses called bacteriophages, or phages, and gene replication during the twentieth century in Germany and the US. Delbrück demonstrated that bacteria undergo random genetic mutations to resist phage infections. Those findings linked bacterial genetics to the genetics of higher organisms. In the mid-twentieth century, Delbrück helped start the Phage Group and Phage Course in the US, which further organized phage research. Delbrück also contributed to the DNA replication debate that culminated in the 1958 Meselson-Stahl experiment, which demonstrated how organisms replicate their genetic information. For his work with phages, Delbrück earned part of the 1969 Nobel Prize for Physiology or Medicine. Delbrück's work helped shape and establish new fields in molecular biology and genetics to investigate the laws of inheritance and development. Delbrück was born on 4 September 1906, as the last of seven children of Lina and Hans Delbrück, in Berlin, Germany. Delbrück grew up in Grunewald, a suburb of Berlin. In 1914, World War I [2] began. During the war, Delbrück's family struggled with food shortages and in 1917 Delbrück's oldest brother died in combat. After the war ended in 1918, Delbrück began to study astronomy. Some nights, Delbrück woke up in the middle of the night to observe the stars with his telescope. He also read about the seventeenth-century astronomer Johannes Kepler, who studied planetary motion in late sixteenth and early seventeenth century Germany. -
Martha Chase Dies
PublisherInfo PublisherName : BioMed Central PublisherLocation : London PublisherImprintName : BioMed Central Martha Chase dies ArticleInfo ArticleID : 4830 ArticleDOI : 10.1186/gb-spotlight-20030820-01 ArticleCitationID : spotlight-20030820-01 ArticleSequenceNumber : 182 ArticleCategory : Research news ArticleFirstPage : 1 ArticleLastPage : 4 RegistrationDate : 2003–8–20 ArticleHistory : OnlineDate : 2003–8–20 ArticleCopyright : BioMed Central Ltd2003 ArticleGrants : ArticleContext : 130594411 Milly Dawson Email: [email protected] Martha Chase, renowned for her part in the pivotal "blender experiment," which firmly established DNA as the substance that transmits genetic information, died of pneumonia on August 8 in Lorain, Ohio. She was 75. In 1952, Chase participated in what came to be known as the Hershey-Chase experiment in her capacity as a laboratory assistant to Alfred D. Hershey. He won a Nobel Prize for his insights into the nature of viruses in 1969, along with Max Delbrück and Salvador Luria. Peter Sherwood, a spokesman for Cold Spring Harbor Laboratory, where the work took place, described the Hershey-Chase study as "one of the most simple and elegant experiments in the early days of the emerging field of molecular biology." "Her name would always be associated with that experiment, so she is some sort of monument," said her longtime friend Waclaw Szybalski, who met her when he joined Cold Spring Harbor Laboratory in 1951 and who is now a professor of oncology at the University of Wisconsin-Madison. Szybalski attended the first staff presentation of the Hershey-Chase experiment and was so impressed that he invited Chase for dinner and dancing the same evening. "I had an impression that she did not realize what an important piece of work that she did, but I think that I convinced her that evening," he said. -
Outsiders As Innovators in the Life Sciences
Dartmouth College Dartmouth Digital Commons Open Dartmouth: Published works by Dartmouth faculty Faculty Work 12-1-2006 Outsiders as Innovators in the Life Sciences Michael Dietrich Dartmouth College Follow this and additional works at: https://digitalcommons.dartmouth.edu/facoa Part of the Biology Commons Dartmouth Digital Commons Citation Dietrich, Michael, "Outsiders as Innovators in the Life Sciences" (2006). Open Dartmouth: Published works by Dartmouth faculty. 34. https://digitalcommons.dartmouth.edu/facoa/34 This Book Chapter is brought to you for free and open access by the Faculty Work at Dartmouth Digital Commons. It has been accepted for inclusion in Open Dartmouth: Published works by Dartmouth faculty by an authorized administrator of Dartmouth Digital Commons. For more information, please contact [email protected]. oren harman & michael r. dietrich introduction outsiders as innovators in the life sciences introduction Both intellectually and institutionally, the life sciences oc- cupy a fascinating middle ground between the physical and exact sciences, on the one hand, and the social sciences and humanities on the other. If biology were an animal, it would be a duck- billed platypus— something that appears chimeric, yet is fully rooted in its own historical lineage of accumu- lating adaptations, tinkering, and change. Like that strange aquatic mammal, “half bird, half beast,”1 its features point to its origins and ecol ogy. Biology as a science has come into being as a patchwork, assuming its present visage as a consequence of myriad interactions between diff erent traditions of knowledge, method, and phi- losophy while maintaining an overarching quest for understanding of the natural world. -
From L'homme Machine to Metabolic Closure Steps Towards
Journal of Theoretical Biology 286 (2011) 100–113 Contents lists available at ScienceDirect Journal of Theoretical Biology journal homepage: www.elsevier.com/locate/yjtbi 50th Anniversary Year Review From L’Homme Machine to metabolic closure: Steps towards understanding life Juan-Carlos Letelier a, Marı´a Luz Ca´rdenas b, Athel Cornish-Bowden b,Ã a Departamento de Biologı´a, Facultad de Ciencias, Universidad de Chile, Casilla 653, Santiago, Chile b Unite´ de Bioe´nerge´tique et Inge´nierie des Prote´ines, Centre National de la Recherche Scientifique, 31 chemin Joseph-Aiguier, 13402 Marseille Cedex 20, France article info abstract Available online 12 July 2011 The nature of life has been a topic of interest from the earliest of times, and efforts to explain it in Keywords: mechanistic terms date at least from the 18th century. However, the impressive development of Origin of life molecular biology since the 1950s has tended to have the question put on one side while biologists (M,R) systems explore mechanisms in greater and greater detail, with the result that studies of life as such have been Autopoiesis confined to a rather small group of researchers who have ignored one another’s work almost Chemoton completely, often using quite different terminology to present very similar ideas. Central among these Self-organization ideas is that of closure, which implies that all of the catalysts needed for an organism to stay alive must be produced by the organism itself, relying on nothing apart from food (and hence chemical energy) from outside. The theories that embody this idea to a greater or less degree are known by a variety of names, including (M,R) systems, autopoiesis, the chemoton, the hypercycle, symbiosis, autocatalytic sets, sysers and RAF sets. -
THE INTELLECTUAL ORIGINS of the Mcculloch
JHBS—WILEY RIGHT BATCH Top of ID Journal of the History of the Behavioral Sciences, Vol. 38(1), 3–25 Winter 2002 ᭧ 2002 John Wiley & Sons, Inc. (PHYSIO)LOGICAL CIRCUITS: THE INTELLECTUAL ORIGINS OF THE Base of 1st McCULLOCH–PITTS NEURAL NETWORKS line of ART TARA H. ABRAHAM This article examines the intellectual and institutional factors that contributed to the col- laboration of neuropsychiatrist Warren McCulloch and mathematician Walter Pitts on the logic of neural networks, which culminated in their 1943 publication, “A Logical Calculus of the Ideas Immanent in Nervous Activity.” Historians and scientists alike often refer to the McCulloch–Pitts paper as a landmark event in the history of cybernetics, and funda- mental to the development of cognitive science and artificial intelligence. This article seeks to bring some historical context to the McCulloch–Pitts collaboration itself, namely, their intellectual and scientific orientations and backgrounds, the key concepts that contributed to their paper, and the institutional context in which their collaboration was made. Al- though they were almost a generation apart and had dissimilar scientific backgrounds, McCulloch and Pitts had similar intellectual concerns, simultaneously motivated by issues in philosophy, neurology, and mathematics. This article demonstrates how these issues converged and found resonance in their model of neural networks. By examining the intellectual backgrounds of McCulloch and Pitts as individuals, it will be shown that besides being an important event in the history of cybernetics proper, the McCulloch– Pitts collaboration was an important result of early twentieth-century efforts to apply mathematics to neurological phenomena. ᭧ 2002 John Wiley & Sons, Inc. -
SMB Newsletter Volume 23 #2 - May 2010
SMB Newsletter Volume 23 #2 - May 2010 Inside this Issue: Letter from President.......................................................................................................................................2 2010 SIAM Great Lakes conference on Modeling and Numerical PDEs in Mathematical Biology..............3 VCU/NHLBI Spring 2010 Conference........................................................................................................4-5 African Society for Biomathematics Inaugural Conference........................................................................6-7 Nicolas Rashevsky...........................................................................................................................................7 Systems approaches in immunology: advances and challenges in multi-scale modeling...........................8-9 My Career in Math Biology: Leon Glass.................................................................................................10-11 First International Workshop “Mathematical Methods in Systems Biology”..........................................12-13 Center and Institute Updates....................................................................................................................14-15 Dynamical Systems Applied to Biology and Natural Science................................................................16-17 Positions Available..................................................................................................................................17-19 SMB 2010 Updates....................................................................................................................................20 -
Mathematical Biology, an Interdisciplinary Future
Quarterly newsletter Last quarter 2014 / First quarter 2015 CSIC - UAM - UC3M - UCM EDITORIAL Mathematical Biology, an interdisciplinary future Mathematical Biology is a scientific field devoted to the study networks in epidemiology requires ideas belonging to graph theory; of biological processes using mathematical techniques. It is an combinatorial algebra is applied to systems control in ecology; the area where the interests of biologists and mathematicians mainly topological branch of knot theory describes the way in which a DNA converge, and to a lesser extent those of researchers from other molecule is configured; research into molecular genetics requires branches of knowledge. certain stochastic processes (Markov chains and processes, branching processes, Brownian motion, diffusion processes); Monte Carlo It is without doubt an attractive field that is now on the rise. It has Markov chains and numerical methods based on the theory of large progressed rapidly during the last two decades and has modified deviations are found in the simulation of rare events in biological the controversial, historical relation between experimental science, models; linear and nonlinear models in neurobiology employ Biology, and Mathematics, the latter being characterized by its deterministic and stochastic partial differential equations; in addition, degree of abstraction. Traditionally, biologists have not disguised measured or sampled data lead to goodness of fit and estimation their mistrust in the contributions made by mathematicians, on the procedures in statistics. grounds that the level of complexity of living beings could not be translated into terms provided by a handful of equations. At present, Computational advances in recent decades and the development of the close interaction between professionals belonging to both fields new numerical methods have enabled the diverse challenges faced has made these equations into a mathematical synthesis capable of encapsulating the essential aspects of a biological reality while leaving other superficial considerations aside. -
Computer Simulation of Neural Networks Using Spreadsheets: the Dawn of the Age of Camelot
Педагогiка вищої та середньої школи 2019. Випуск 51. C. 159–191 УДК 004.94:37.091.39 Computer Simulation of Neural Networks Using Spreadsheets: The Dawn of the Age of Camelot Serhiy O. Semerikov1[0000−0003−0789−0272], Illia O. Teplytskyi1, Yuliia V. Yechkalo2[0000−0002−0164−8365] and Arnold E. Kiv3 1 Kryvyi Rih State Pedagogical University, 54, Gagarina Ave., Kryvyi Rih, 50086, Ukraine [email protected] 2 State Institution of Higher Education “Kryvyi Rih National University”, 11, Vitali Matusevich St., Kryvyi Rih, 50027, Ukraine [email protected] 3 Ben-Gurion University of the Negev, Beer Sheba, Israel [email protected] Abstract. The article substantiates the necessity to develop training methods of computer simulation of neural networks in the spreadsheet environment. The systematic review of their application to simulating artificial neural networks is performed. The authors distinguish basic approaches to solving the problem of network computer simulation training in the spreadsheet environment, joint application of spreadsheets and tools of neural network simulation, application of third-party add-ins to spreadsheets, development of macros using the embedded languages of spreadsheets; use of standard spreadsheet add-ins for non-linear optimization, creation of neural networks in the spreadsheet environment without add-ins and macros. After analyzing a collection of writings of 1890–1950, the research determines the role of the scientific journal “Bulletin of Mathematical Biophysics”, its founder Nicolas Rashevsky and the scientific community around the journal in creating and developing models and methods of computational neuroscience. There are identified psychophysical basics of creating neural networks, mathematical foundations of neural computing and methods of neuroengineering (image recognition, in particular). -
An Interview with Jack Cowan1
An Interview with Jack Cowan1 Jack Cowan was born in Leeds, England in 1933. Educated at Edinburgh University, Imperial College and MIT, he is one of the pioneers of continuous approaches to neural networks and brain modelling. He has made many important contributions to machine learning, neural networks and computational neuroscience. In 1967 he took over from Nicolas Rashevsky as Chair of the Committee on Mathematical Biology at the University of Chicago where he has remained ever since; he is currently Professor in the Mathematics Department. This is an edited transcript of an interview conducted on the 6th November 2006. Phil Husbands: Can you start by saying a little about your family background, in particular any influences that might have steered you towards a career in science. Jack Cowan: My grandparents emigrated from Poland and Lithuania at the turn of the last century; I think they left after the 1908 pogroms and they ended up in England, on my mother’s side, and Scotland on my father’s. My mother’s parents had a clothing business in Leeds and my father’s family sold fruit in Edinburgh. My father became a baker. My mother was clever and did get a scholarship to go to University but she had to decline because of the family finances. So I was the first member of my family to go to University. PH: Did you get much influence from school? JC: Yes, in that I went to a good school. My parents were very encouraging from an early age – my mother claims that I started reading when I was very young and that I was bossing the other kids in kindergarten! Anyway, we moved to Edinburgh from Leeds when I was six years old and I went to a local school there for about three years, but my parents could see that I had some aptitude so they got me into George Heriot’s School, a very good private school. -
Alfred Day Hershey (1908–1997) [1]
Published on The Embryo Project Encyclopedia (https://embryo.asu.edu) Alfred Day Hershey (1908–1997) [1] By: Hernandez, Victoria Keywords: Hershey, Alfred Day [2] Lambda phage [3] Bacteriophage [4] Hershey-Chase experiments [5] During the twentieth century in the United States, Alfred Day Hershey studied phages, or viruses that infect bacteria, and experimentally verified that genes [6] were made of deoxyribonucleic acid, or DNA. Genes are molecular, heritable instructions for how an organism develops. When Hershey started to study phages, scientists did not know if phages contained genes [6], or whether genes [6] were made of DNA or protein. In 1952, Hershey and his research assistant, Martha Chase, conducted phage experiments that convinced scientists that genes [6] were made of DNA. For his work with phages, Hershey shared the 1969 Nobel Prize in Physiology or Medicine [7] with Max Delbrück and Salvador Luria. Hershey conducted experiments with results that connected DNA to the function of genes [6], thereby changing the way scientists studied molecular biology and the development of organisms. Hershey was born on 4 December 1908 to Alma Wilbur and Robert Hershey in Owosso, Michigan. He attended public schools in both Owosso and Lansing, Michigan, where his father worked as a stockkeeper at an automobile factory. For his higher education, Hershey attended Michigan State College, later called Michigan State University, in East Lansing, Michigan. There, he received his Bachelor’s of Science in chemistry in 1930 and his PhD in bacteriology and chemistry in 1934. Hershey wrote his doctoral dissertation on the separation of chemical constituents, or components like sugars, fats, and proteins, from different strains of the Brucella [8] bacterial group.