Peptide computing is a form of computing which uses peptides, instead of traditional electronic components. The basis of this computational model is the affinity of antibodies towards peptide sequences. Similar to DNA computing, the parallel interactions of peptide sequences and antibodies have been used by this model to solve a few NP-complete problems. Specifically, the hamiltonian path problem (HPP) and some versions of the set cover problem are a few NP-complete problems which have been solved using this computational model so far. This model of computation has also been shown to be computationally universal (or Turing complete). This model of computation has some critical advantages over DNA computing. For instance, while DNA is made of four building blocks, peptides are made of twenty building blocks. The peptide-antibody interactions are also more flexible with respect to recognition and affinity than an interaction between a DNA strand and its reverse complement. However, unlike DNA computing, this model is yet to be practically realized. The main limitation is the availability of specific monoclonal antibodies required by the model. (Wikipedia).
If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.
From playlist 3D Printing
Computational Microscopy: Utilizing Image Processing and Neural Networks
www.wolfram.com/wolfram-u/ This event features demos and tutorials using Wolfram technologies for 2D and 3D image analysis and computer vision. Wolfram's integrated workflow combines high level image processing and machine learning in one system, allowing to solve a variety of problems fr
From playlist Computational Microscopy
Using Mathematica at the University of Houston-Downtown
To learn more about Wolfram Technology Conference, please visit: https://www.wolfram.com/events/technology-conference/ Speaker: Katarina Jegdic Wolfram developers and colleagues discussed the latest in innovative technologies for cloud computing, interactive deployment, mobile devices, a
From playlist Wolfram Technology Conference 2018
For the latest information, please visit: http://www.wolfram.com Speaker: Markus van Almsick Wolfram developers and colleagues discussed the latest in innovative technologies for cloud computing, interactive deployment, mobile devices, and more.
From playlist Wolfram Technology Conference 2015
A rotating nozzle that can print with multiple different materials at the same time has been used to print helix shapes with intriguing properties. The researchers who developed the system have experimented with printing a kind of artificial muscle and with changing the properties a length
From playlist Technology
Project Workflow Stage—Analyze: Assemble a Broad, Flexible Computational Toolset Wolfram technology provides everything you need for this workflow—interactive computation in high-level notebooks, built-in machine learning, curated data and high-level automation—in one coherent system. Fro
From playlist Multiparadigm Data Science: The Project Workflow
Representing and Finding Mathematical Theorems
To learn more about Wolfram Technology Conference, please visit: https://www.wolfram.com/events/technologyconference/ Speaker: Yihe Dong, Ian Ford, James Mulnix Wolfram developers and colleagues discussed the latest in innovative technologies for cloud computing, interactive deployment,
From playlist Wolfram Technology Conference 2017
Applying Natural Language Processing to Cancer Genomics
Install NLP Libraries https://www.johnsnowlabs.com/install/ Register for Healthcare NLP Summit 2023: https://www.nlpsummit.org/#register Watch all NLP Summit 2022 sessions: https://www.nlpsummit.org/nlp-summit-2022-watch-now/ Presented by Lena Pfitzer, Principal Data Scientist at myNE
From playlist NLP Summit 2022
Wolfram Private Cloud Rollout of AWS API Based Micro-Services for AdTech
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From playlist Wolfram Technology Conference 2016
8A. Protein 2: Mass Spectrometry, Post-synthetic Modifications, Quantitation of Protein...
MIT HST.508 Genomics and Computational Biology, Fall 2002 Instructor: George Church View the complete course: https://ocw.mit.edu/courses/hst-508-genomics-and-computational-biology-fall-2002/ YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP61gaHWysmlYNeGsuUI8y5GV Welcom
From playlist HST.508 Genomics and Computational Biology, Fall 2002
Andrew White: "Maximum Entropy Methods for Combining Physics-Based Simulation with Empirical Data"
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From playlist Machine Learning for Physics and the Physics of Learning 2019
Jonah Vilseck chats about UITS Research Technologies services
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From playlist IU faculty use UITS Research Technologies' tools, systems, and services
3. Structures of Amino Acids, Peptides, and Proteins
MIT 7.016 Introductory Biology, Fall 2018 Instructor: Barbara Imperiali View the complete course: https://ocw.mit.edu/7-016F18 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63LmSVIVzy584-ZbjbJ-Y63 After wrapping up the lecture on lipids, Professor Imperiali moves on t
From playlist MIT 7.016 Introductory Biology, Fall 2018
Computation with Geometry and Meshes
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From playlist European Wolfram Technology Conference 2015
Frédéric Cazals: About two problems in computational structural biology - Lecture 1
HYBRID EVENT Recorded during the meeting "French Computer Algebra Days" the March 03, 2022 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide mathematicians on CIRM's Audiovisu
From playlist Mathematical Aspects of Computer Science
Stochastic descriptors to study the fate of naive T cell... by Carmen Molina Paris
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From playlist Mathematical and statistical explorations in disease modelling and public health
Standing on the Shoulders of Mice: Aging T-cells - Mark Davis
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From playlist Center for Systems Biology
Dynamic Spatiotemporal Determinants Modulate the Selectivity and Promiscuity by Nagarajan Vaidehi
PROGRAM: STATISTICAL BIOLOGICAL PHYSICS: FROM SINGLE MOLECULE TO CELL (ONLINE) ORGANIZERS: Debashish Chowdhury (IIT Kanpur), Ambarish Kunwar (IIT Bombay) and Prabal K Maiti (IISc, Bengaluru) DATE: 07 December 2020 to 18 December 2020 VENUE: Online 'Fluctuation-and-noise' are th
From playlist Statistical Biological Physics: From Single Molecule to Cell (Online)
Peter Frazier: "Accelerating Scientific Discovery through Interpretable Machine Learning and Int..."
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From playlist Machine Learning for Physics and the Physics of Learning 2019
The Wolfram Compiler converts Wolfram Language code into native machine instructions that run directly on the machine hardware. It offers a powerful way to speed up programs and provides many opportunities for innovative programming features such as building connections to external librari
From playlist Wolfram Technology Conference 2022