A complex piece of DNA that acts as a biological computer when it is inserted into cells determines whether or not the cell is a specific type of cancer cell, and if so, initiates the suicide of that cell.
Archive for the 'Artificial Molecular Machines' Category
Electrons from a scanning tunneling microscope cause a molecule of butyl methyl sulfide to rotate about a single sulfur atom attached to a copper surface.
News articles by Jon Cartwright on the Chemistry World news site and by Michael Berger at Nanowerk describe a significant molecular machine milestone achieved by the research groups of David A. Leigh (winner of the 2007 Foresight Institute Feynman Prize in Nanotechnology for Theory) and Anne-Sophie Duwez. The research was reported in Nature Nanotechnology [abstract]. [...]
Submit your own work or nominate a colleague for the 2011 Foresight Institute Feynman Prizes.
A neural network made from 112 DNA strands organized into four artificial neurons was trained with four pieces of information to answer questions.
The American Chemical Society Petroleum Research Fund has awarded a grant to study the development of molecular gears for use in future molecular machines. From an Austin College news release “Chemist awarded $50,000 grant“ Dr. Stephanie Gould, assistant professor of chemistry at Austin College, has been awarded a $50,000 grant from the American Chemical Society [...]
Will an inexpensive automated evolution machine accelerate the development of molecular machine systems by simultaneously evolving multiple parts to improve function?
A new book collects the papers and discussions from the 2007 Solvay Conference “From Noncovalent Assemblies to Molecular Machines”.
I. Foresight@Google: Registration Deadline – Wed June 22nd II. Open Foresight Reception in Palo Alto – Friday June 24th III. Senior Associates Reunion Banquet – Saturday June 25th IV. Thiel Foundation’s 20Under20 to attend Foresight@Google ================================== I. Foresight@Google Registration Deadline – Wednesday June 22nd Foresight@Google – June 24-26, 2011 25th Anniversary Conference Celebration & Reunion Weekend [...]
Computational studies show that small diamond structures of the type that might serve as nanoparts in diamondoid molecular machinery are structurally stable.
A biochemical circuit built from 74 small DNA molecules demonstrates an approach that may enable embedded control of molecular devices.
We are proud to announce our final conference program for Foresight@Google‘s 25th Anniversary Conference Celebration, held June 25-26 in Mountain View, CA. For $50 off registration use code: NANODOT This weekend – full of plenary talks, panels, and breakout sessions – is a unique opportunity to be stimulated, enlightened and inspired by direct interaction with [...]
A Monte-Carlo simulation shows that a simple self-replicating RNA-like molecule in a specific protective environment could evolve the ability to translate a genetic code to produce peptides.
New research grants will support exploration of how molecular machines function.
Midnight tonight Pacific time is the deadline for the early registration rate on Foresight@Google, our 25th Anniversary Conference and Celebration. Check it out here: http://foresight.org/reunion Past participants have said: “This is mind candy for my soul. Having attended for two years now, this event stands alone in my mind as an opportunity to explore new horizons, [...]
Engineering both the pore size and chemical functionality of nanoporous materials affects both the secondary structure and the catalytic activity of the enzymes confined in the nanopores.
Researchers in the UK and Japan use atomic force microscopy to visualize a DNA molecular robot moving along a 100-nm DNA track.
Computational work links optically-induced molecular shape change to change in DNA structure to extract useful work.
A French and Chinese collaboration has designed a molecular piston that self-assembles to form a complex stable enough that disassembly is very slow compared to the sliding motion of the piston.
In yet another in a long list of improvements to DNA based molecular machines, DNA molecular robots learn to walk in any direction along a branched track.