John Jumper (AI Researcher)
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John Jumper (AI Researcher)
John Michael Jumper is an American senior research scientist at DeepMind Technologies. Jumper and his colleagues created AlphaFold, an artificial intelligence (AI) model to predict protein structures from their amino acid sequence with high accuracy. Jumper has stated that the AlphaFold team plans to release 100 million protein structures. The scientific journal ''Nature'' included Jumper as one of the ten "people who mattered" in science in their annual listing of Nature's 10 in 2021. Education Jumper was educated at the University of Chicago where he was awarded a PhD in 2017 for research on using machine learning to simulate protein folding and dynamics, being co-supervised by Tobin R Sosnick and Karl Freed. Jumper also studied physics at the University of Cambridge, where he was on the Marshall Scholarship, and holds a Bachelor of Science degree in Physics and Mathematics from Vanderbilt University. Career and research Jumper's research investigates algorithms for protein st ...
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Nature (journal)
''Nature'' is a British weekly scientific journal founded and based in London, England. As a multidisciplinary publication, ''Nature'' features peer-reviewed research from a variety of academic disciplines, mainly in science and technology. It has core editorial offices across the United States, continental Europe, and Asia under the international scientific publishing company Springer Nature. ''Nature'' was one of the world's most cited scientific journals by the Science Edition of the 2019 ''Journal Citation Reports'' (with an ascribed impact factor of 42.778), making it one of the world's most-read and most prestigious academic journals. , it claimed an online readership of about three million unique readers per month. Founded in autumn 1869, ''Nature'' was first circulated by Norman Lockyer and Alexander Macmillan as a public forum for scientific innovations. The mid-20th century facilitated an editorial expansion for the journal; ''Nature'' redoubled its efforts in exp ...
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Albert Lasker Award For Basic Medical Research
The Albert Lasker Award for Basic Medical Research is one of the prizes awarded by the Lasker Foundation for a fundamental discovery that opens up a new area of biomedical science. The award frequently precedes a Nobel Prize in Medicine; almost 50% of the winners have gone on to win one. List of Albert Lasker Award for Basic Medical Research recipients {, , Valign="top", {, class="wikitable" ! Year !! Recipient , - , Rowspan="3", 2022 , , Richard O. Hynes , - , , Erkki Ruoslahti , - , , Timothy A. Springer , - , Rowspan="3", 2021 , , Karl Deisseroth , - , , Peter Hegemann , - , , Dieter Oesterhelt , - , Rowspan="1", 2020 , , not awarded   , - , Rowspan="2", 2019 , , Max Dale Cooper , - , , Jacques Miller , - , Rowspan="2", 2018 , , C. David Allis , - , , Michael Grunstein , - , Rowspan="1", 2017 , , Michael N. Hall , - , Rowspan="3", 2016 , , William Kaelin, Jr. , - , , Peter J. Ratcliffe , - , , Gregg L. Semenza , - , R ...
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Canada Gairdner International Award
The Canada Gairdner International Award is given annually by the Gairdner Foundation at a special dinner to five individuals for outstanding discoveries or contributions to medical science. Receipt of the Gairdner is traditionally considered a precursor to winning the Nobel Prize in Medicine; as of 2020, 95 Nobel Prizes have been awarded to prior Gairdner recipients. Canada Gairdner International Awards are given annually in the amount of $100,000 (each) payable in Canadian funds and can be awarded to residents of any country in the world. A joint award may be given for the same discovery or contribution to medical science, but in that case each awardee receives a full prize. Past winners *1959 Alfred Blalock, , Harry M. Rose, William D.M. Paton, Eleanor Zaimis, Wilfred G. Bigelow *1960 Joshua Harold Burn, John H. Gibbon Jr., William F. Hamilton, John McMichael, Karl Meyer, Arnold Rice Rich Arnold Rice Rich (March 28, 1893 – April 17, 1968) was an American path ...
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Wiley Prize
The Wiley Prize in Biomedical Sciences is intended to recognize breakthrough research in pure or applied life science research that is distinguished by its excellence, originality and impact on our understanding of biological systems and processes. The award may recognize a specific contribution or series of contributions that demonstrate the nominee’s significant leadership in the development of research concepts or their clinical application. Particular emphasis will be placed on research that champions novel approaches and challenges accepted thinking in the biomedical sciences. The Wiley Foundation, established in 2001, is the endowing body that supports the Wiley Prize in Biomedical Sciences. This international award is presented annually and consists of a $35,000 prize and a luncheon in honor of the recipient. The award is presented at a ceremony at The Rockefeller University, where the recipient delivers an honorary lecture as part of the Rockefeller University Lecture Se ...
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Critical Assessment Of Structure Prediction
Critical Assessment of Structure Prediction (CASP), sometimes called Critical Assessment of Protein Structure Prediction, is a community-wide, worldwide experiment for protein structure prediction taking place every two years since 1994. CASP provides research groups with an opportunity to objectively test their structure prediction methods and delivers an independent assessment of the state of the art in protein structure modeling to the research community and software users. Even though the primary goal of CASP is to help advance the methods of identifying protein three-dimensional structure from its amino acid sequence many view the experiment more as a “world championship” in this field of science. More than 100 research groups from all over the world participate in CASP on a regular basis and it is not uncommon for entire groups to suspend their other research for months while they focus on getting their servers ready for the experiment and on performing the detailed predic ...
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Protein Structure Prediction
Protein structure prediction is the inference of the three-dimensional structure of a protein from its amino acid sequence—that is, the prediction of its secondary and tertiary structure from primary structure. Structure prediction is different from the inverse problem of protein design. Protein structure prediction is one of the most important goals pursued by computational biology; and it is important in medicine (for example, in drug design) and biotechnology (for example, in the design of novel enzymes). Starting in 1994, the performance of current methods is assessed biannually in the CASP experiment (Critical Assessment of Techniques for Protein Structure Prediction). A continuous evaluation of protein structure prediction web servers is performed by the community project CAMEO3D. Protein structure and terminology Proteins are chains of amino acids joined together by peptide bonds. Many conformations of this chain are possible due to the rotation of the main chain abou ...
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Alphabet Inc
Alphabet Inc. is an American multinational technology conglomerate holding company headquartered in Mountain View, California. It was created through a restructuring of Google on October 2, 2015, and became the parent company of Google and several former Google subsidiaries. Alphabet is the world's third-largest technology company by revenue and one of the world's most valuable companies. It is one of the Big Five American information technology companies, alongside Amazon, Apple, Meta and Microsoft. The establishment of Alphabet Inc. was prompted by a desire to make the core Google business "cleaner and more accountable" while allowing greater autonomy to group companies that operate in businesses other than Internet services. Founders Larry Page and Sergey Brin announced their resignation from their executive posts in December 2019, with the CEO role to be filled by Sundar Pichai, also the CEO of Google. Page and Brin remain employees, board members, and controlling sh ...
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Deep Learning
Deep learning (also known as deep structured learning) is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised. Deep-learning architectures such as deep neural networks, deep belief networks, deep reinforcement learning, recurrent neural networks, convolutional neural networks and Transformers have been applied to fields including computer vision, speech recognition, natural language processing, machine translation, bioinformatics, drug design, medical image analysis, Climatology, climate science, material inspection and board game programs, where they have produced results comparable to and in some cases surpassing human expert performance. Artificial neural networks (ANNs) were inspired by information processing and distributed communication nodes in biological systems. ANNs have various differences from biological brains. Specifically, artificial ...
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The Performance Of AlphaFold
''The'' () is a grammatical article in English, denoting persons or things already mentioned, under discussion, implied or otherwise presumed familiar to listeners, readers, or speakers. It is the definite article in English. ''The'' is the most frequently used word in the English language; studies and analyses of texts have found it to account for seven percent of all printed English-language words. It is derived from gendered articles in Old English which combined in Middle English and now has a single form used with pronouns of any gender. The word can be used with both singular and plural nouns, and with a noun that starts with any letter. This is different from many other languages, which have different forms of the definite article for different genders or numbers. Pronunciation In most dialects, "the" is pronounced as (with the voiced dental fricative followed by a schwa) when followed by a consonant sound, and as (homophone of pronoun ''thee'') when followed by a v ...
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Protein Structure Prediction
Protein structure prediction is the inference of the three-dimensional structure of a protein from its amino acid sequence—that is, the prediction of its secondary and tertiary structure from primary structure. Structure prediction is different from the inverse problem of protein design. Protein structure prediction is one of the most important goals pursued by computational biology; and it is important in medicine (for example, in drug design) and biotechnology (for example, in the design of novel enzymes). Starting in 1994, the performance of current methods is assessed biannually in the CASP experiment (Critical Assessment of Techniques for Protein Structure Prediction). A continuous evaluation of protein structure prediction web servers is performed by the community project CAMEO3D. Protein structure and terminology Proteins are chains of amino acids joined together by peptide bonds. Many conformations of this chain are possible due to the rotation of the main chain abou ...
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