PPT-Interactions in Networks

Author : natalia-silvester | Published Date : 2017-12-04

In part based on Chapters 10 and 11 of D Easly J Kleinberg 2010 Networks Crowds and Markets Cambridge University press Dr Henry Hexmoor Computer ScienceDepartment

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "Interactions in Networks" is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

Interactions in Networks: Transcript


In part based on Chapters 10 and 11 of D Easly J Kleinberg 2010 Networks Crowds and Markets Cambridge University press Dr Henry Hexmoor Computer ScienceDepartment Southern Illinois University . Interface between Physics and Biology. . Shekhar. C. . Mande. Centre for DNA Fingerprinting and Diagnostics. Hyderabad. Emerging Paradigm of Modern Practice of Science. Integration of all branches of sciences (learning)…….. WANITA SHERCHAN, IBM Research-Australia. SURYA NEPAL and CECILE PARIS. CSIRO ICT . Centre. Presented by Jacob Couch. Trust Definitions. Trust Definitions. Trust Origin. Trust in Psychology. Trust is considered to be a . Cornell Notes and Q’s:. Take 2 pages of Cornell Notes based on the information you learn about in this presentation. . Answer the Questions you see included on the slides. (Q:). These notes will be included in a notebook check. 20 . Cell Networks. University of Heidelberg. Interactions and more interactions. Aloy. & . Russell . Nature Rev . Mol. Cell . Biol. 2006. But instead of a cell dominated by randomly colliding individual protein molecules, we now know that nearly every major process in a cell is carried out by. EDRC 2015, Heidelberg. Visualising interaction networks. Visualising interaction networks. Physical interactions. Visualising interaction networks. Genetic interactions. Collaboration with esyN (. www.esyn.org. A. W. Schreiber. Australian Centre for Plant Functional Genomics. Waite Campus, . University of Adelaide. Achievements and new directions. in Subatomic Physics:. Workshop in Honour of Tony . Thomas’s 60. Alexandra Kent & Allyson Brome. University of Utah. Non Covalent Interactions. Wiki Page. : . http. ://en.wikipedia.org/wiki/Non-. covalent_interactions. . Other References: . Anslyn. , E. V., Dougherty, D. A. (2006). Modern Physical Organic Chemistry. Sausalito, CA. University Science.. Sushmita Roy. sroy@biostat.wisc.edu. Computational Network Biology. Biostatistics & Medical Informatics 826. Computer Sciences 838. https://. compnetbiocourse.discovery.wisc.edu. Sep 27. th. 2016. Louis Wu, PA-C. Presented at VAPAA Annual Meeting. . March 2, 2017. . Financial Disclosures and Conflicts. I have no financial disclosures nor conflicts concerning this talk. . . Learning Objectives. . Department . of Pharmaceutics. 1. 26-Feb-16. Drug interactions . :. . These are said . to occur when the pharmacological activity of a drug is altered by the concomitant use of another drug or by the presence of some other substance. . Presented by: Debbie Rosenberger BSN, RN- BC . University of Mary Hardin-Baylor. Conflicts of interest. I have no potential conflict of interest in relation to this educational activity or presentation.. Network motifs. Network clusters / modules. Co-clustering networks & expression. Network comparison. (species, conditions). Integration of genetic & physical nets. Network visualization. Network. to . regulatory and interaction networks. October 23. rd. . – 25. th. , 2015. HSE – Nizhny Novgorod. Mario R. Guarracino. joint work with Marina . Piccirillo. , . Sonali. . Chavan. , . Parijat. Elizabeth Bess. University of Utah. Non-covalent interactions with Pi systems. Overview: . Non-covalent interactions are the underpinnings of chemical selectivity, molecular recognition, and supramolecular molecules’ tertiary structure (e.g., enzymes and DNA). These through-space, rather than through-bond, interactions arise from attractions between oppositely and fully or partially charged species. One such class of non-covalent interactions are the intermolecular interactions of pi systems with other pi systems or charged species. .

Download Document

Here is the link to download the presentation.
"Interactions in Networks"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.

Related Documents