Chaos and control: Nanotechnology and the politics of emergence

This article looks at the strong links between Deleuze's molecular ontology and the fields of complexity and emergence, and argues that Deleuze's work implies a ‘philosophy of technology’ that is both open and dynamic. Following Simondon and von Uexküll, Deleuze suggests that technical objects are ontologically unstable, and are produced by processes of individuation and self-organization in complex relations with their environment. For Deleuze design is not imposed from without, but emerges from within matter. The fundamental departure for Deleuze, on the basis of such an ontology, is to conceive of modes of relating to the evolution of technology. In this way Deleuze, along with Guattari, provides the basis for an ethics and a politics of becoming and emergent control that constitutes an alternative to the hubris of contemporary reductionist accounts of new areas such as nanotechnology

New Monte Carlo Based Technique To Study DNA–Ligand Interactions

We present a new all-atom Monte Carlo technique capable of performing quick and accurate DNA–ligand conformational sampling. In particular, and using the PELE software as a frame, we have introduced an additional force field, an implicit solvent, and an anisotropic network model to effectively map the DNA energy landscape. With these additions, we successfully generated DNA conformations for a test set composed of six DNA fragments of A-DNA and B-DNA. Moreover, trajectories generated for cisplatin and its hydrolysis products identified the best interacting compound and binding site, producing analogous results to microsecond molecular dynamics simulations. Furthermore, a combination of the Monte Carlo trajectories with Markov State Models produced noncovalent binding free energies in good agreement with the published molecular dynamics results, at a significantly lower computational cost. Overall our approach will allow a quick but accurate sampling of DNA–ligand interactions.The authors thank the Barcelona Supercomputing Center for computational resources. This work was supported by grants from the European Research Council—2009-Adg25027-PELE European project and the Spanish Ministry of Economy and Competitiveness CTQ2013-48287 and “Juan de la Cierva” to F.L.Peer ReviewedPostprint (author's final draft