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DTSTART:20150329T010000
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DTSTART:20151025T010000
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DTSTART;TZID=Europe/Stockholm:20151120T140000
DTEND;TZID=Europe/Stockholm:20151120T140000
DTSTAMP:20261115T121645
CREATED:20151118T130100Z
LAST-MODIFIED:20151118T130100Z
UID:4712-1448028000-1448028000@arkiv.gratisuppsala.se
SUMMARY:The Genetic Algorithm for biologists
DESCRIPTION:Datum: 2015-11-20 kl 14:00\nPlats: Biomedicinskt centrum C8:301\nFöreläsare: PhD Samuel Coulbourn Flores\nArrangör: Institutionen för cell- och molekylärbiologi\nKontaktperson: Samuel Coulbourn Flores\nDocentföreläsning\n\n\nInstitutionen för cell- och molekylärbiologi inbjuder härmed alla intresserade till docentföreläsning i ämnet biologi med inriktning mot molekylär bioteknik: The Genetic Algorithm for biologists \nFöreläsare: PhD Samuel Coulbourn Flores\nOrdförande: professor David van der Spoel\nDocenturnämndens representant: Jacob Höglund \nFöreläsningen ges på engelska \nVälkomna! \n\n\nAbstract \nBasic scripting and programming skills are becoming increasingly important for scientists. Optimization problems are common in biology\, for example to predict how proteins or RNA will interact with each other or with small molecules. Sometimes one needs to optimize many variables at once\, using complex fitness functions or criteria that may have many local minima. One established and powerful optimization technique is the genetic algorithm. The genetic algorithm organizes parameters\, called “genes\,” into “chromosomes\,” and creates a population of such chromosomes which can “breed” with each other and acquire mutations. Breeding is a cool idea because in principle two individuals could have optimized different parts of their chromosomes\, and their offspring could have the advantages of both “parents.” I will discuss the concepts of population\, crossover\, mutation\, convergence\, and more. We will discuss the example of docking\, for which the genetic algorithm has been used successfully. Lastly\, we will talk about results and future directions in computational protein engineering\, in which we may use the genetic algorithm to greatly increase protein-protein binding affinity. \n\n Dela evenemanget
URL:https://arkiv.gratisuppsala.se/event/the-genetic-algorithm-for-biologists/
LOCATION:Biomedicinskt Centrum\, The Svedbergsalen\, Husargatan 3\, Uppsala\, 75123\, Sverige
CATEGORIES:Föreläsning och Kurs
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