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J. Michael Bishop (1936-Present).
Profiles American biologist J. Michael Bishop (1936- ), provided by Genentech, Inc. Discusses Bishop's research of oncogenes, which are normal genes that control growth in every living cell but that under certain conditions can turn cancerous. Details his awards, including the Nobel Prize, which he was awarded in 1989 along with partner Harold Varmus.
How to Win the Nobel Prize
In 1989 Michael Bishop and Harold Varmus were awarded the Nobel Prize for their discovery that normal genes under certain conditions can cause cancer. In this book, Bishop tells us how he and Varmus made their momentous discovery. More than a lively account of the making of a brilliant scientist, How to Win the Nobel Prize is also a broader narrative combining two major and intertwined strands of medical history: the long and ongoing struggles to control infectious diseases and to find and attack the causes of cancer. Alongside his own story, that of a youthful humanist evolving into an ambivalent medical student, an accidental microbiologist, and finally a world-class researcher, Bishop giv...
The Good Life
Science and philosophy study well-being with different but complementary methods. Marry these methods and a new picture emerges: To have well-being is to be "stuck" in a positive cycle of emotions, attitudes, traits and success. This book unites the scientific and philosophical worldviews into a powerful new theory of well-being.
J. Michael Bishop
This oral history with J. Michael Bishop is one in a series documenting bioscience and biotechnology in Northern California. After arriving at UCSF in 1968, Bishop was soon joined by Harold E. Varmus with whom he established a partnership legendary for its length and productivity. In a seminal publication of 1976, they established the proto-oncogene as a normal cell component and precursor of oncogenes. In 1989, Bishop and Varmus were awarded the Nobel Prize in Physiology or Medicine for this research. With some reluctance, Bishop agreed to become UCSF Chancellor in 1998. His highly productive eleven years saw the creation and staffing of the Mission Bay campus and record-breaking fundraising success, among other important events he oversaw. The oral history consists of five interviews conducted in 2016 and 2017, with an introduction by colleagues Bruce Alberts and Harold Varmus.
How to Win the Nobel Prize
In 1989 Michael Bishop and Harold Varmus were awarded the Nobel Prize for their discovery that normal genes under certain conditions can cause cancer. In this book, Bishop tells us how he and Varmus made their momentous discovery. More than a lively account of the making of a brilliant scientist, How to Win the Nobel Prize is also a broader narrative combining two major and intertwined strands of medical history: the long and ongoing struggles to control infectious diseases and to find and attack the causes of cancer. Alongside his own story, that of a youthful humanist evolving into an ambivalent medical student, an accidental microbiologist, and finally a world-class researcher, Bishop giv...
Oncogenes as Transcriptional Regulators
The intensive study of molecular events leading to cellular transformation in tissue culture or in intact organisms culminated in the identification of 100 or more genes that can be defined as oncogenes or tumor suppressor genes. Functionally, these genes can be divided into several classes, each involved in a different step in transmission of signals from the exterior of the cell to the nucleus. The first oncogenes to be biochemically character ized included membrane receptors for growth factors, growth factors themselves, protein kinases or small GTP binding proteins involved in signal transduction. Later, the development of techniques to study pro teins-DNA interaction in eucaryotes and t...
The Ideal Bishop
St. Thomas Aquinas’s commentaries on the Pastoral Epistles are distinctive and overlooked theological resources, offering invaluable insights into the exercise of the episcopal office in bringing about the spiritual perfection of the faithful in Christ. The Ideal Bishop includes a review of the theology of the episcopacy found in St. Thomas’s principal contemporaries, including Peter Lombard, St. Albert the Great, and St. Bonaventure of Bagnoregio. The heart of this book is an examination of the theology and spirituality of the episcopacy found in the lectures on 1 Timothy, 2 Timothy, and Titus. Particular attention is devoted to Aquinas’s treatment of the nature, purpose, requisite virtues, disqualifying vice, special duties, and particular graces of the episcopal office.
A Few Last Words for the Late Immortals
This retrospective Michael Bishop collection of fifty short pieces (thirty-four stories, fifteen poems or prose-poems, and one amusing Moon-based play about writing SF, "The Grape Jelly and Mustard Method") spans the author's entire career, from "Asytages's Dream," written while Bishop was a college student, to "Yahweh's Hour," an acerbic but moving work of science-fantasy political satire composed in 2020. The collection's most distinctive attribute, however, lies in the fact that no contribution is longer than 3,000 words and most are shorter, a kind of Palm-of-the-Hand Stories for lovers of short fiction, heartfelt pieces that afford the reader as much meat as they do flash. "A Few Last W...
Scientific American Molecular Oncology
This exciting new book approaches cancer diagnosis and therapy from the molecular level. It emphasizes the ability to isolate genes through the use of recombinant DNA. Full-color!
Model-Based Machine Learning
Today, machine learning is being applied to a growing variety of problems in a bewildering variety of domains. A fundamental challenge when using machine learning is connecting the abstract mathematics of a machine learning technique to a concrete, real world problem. This book tackles this challenge through model-based machine learning which focuses on understanding the assumptions encoded in a machine learning system and their corresponding impact on the behaviour of the system. The key ideas of model-based machine learning are introduced through a series of case studies involving real-world applications. Case studies play a central role because it is only in the context of applications th...
