Abstract:
Microbiologicale prodn. of peptides or polypeptides (I) comprises first producing, simultaneously in the same medium, many genes (A) composed at least partly of stochastic, synthetic polynucleotides, and introducing these genes into host cells. The (A)-contg. strains are cultured so as to clone (A) and induce expression of proteins coded by (A). The modified strains are screened/selected to identify those which produce the required (I), according to a particular property. These strains are then isolated and cultured to produce (I). In modification, the (A)-contg. transformants are selected for presence of a particular stochastic DNA or RNA sequence, and such sequences recovered from cultures of the appropriate strains.
Abstract:
Microbiologicale prodn. of peptides or polypeptides (I) comprises first producing, simultaneously in the same medium, many genes (A) composed at least partly of stochastic, synthetic polynucleotides, and introducing these genes into host cells. The (A)-contg. strains are cultured so as to clone (A) and induce expression of proteins coded by (A). The modified strains are screened/selected to identify those which produce the required (I), according to a particular property. These strains are then isolated and cultured to produce (I). In modification, the (A)-contg. transformants are selected for presence of a particular stochastic DNA or RNA sequence, and such sequences recovered from cultures of the appropriate strains.
Abstract:
Methods for the generation of new compounds are disclosed. The present invention eliminates the need to know in advance the structure or chemical compounds of a compounds having a desired property. The disclosure of the present invention provides that diversity of unknown compounds may be produced by "random" chemistry, and such a diversity of unknown compounds may be screened for one or more desired properties to detect the presence of suitable compounds. In one aspect, a starting group of organic compounds is caused to undergo a series of chemical reactions to create a diversity of new organic compounds that are screened for the presence of organic compounds having the desired property. In another aspect of the present invention, a diversity of compounds is generated from a group of substrates which are subjected to a group of enzymes representing a diversity of catalytic activities.
Abstract:
The present invention relates generally to a method and system for routing control in communication networks and for system control. More particularly, the present invention performs routing by controlling the components in a network with software agents (102) operating in a reward framework using p, tau, and patches (104) to improve communication performance (106). This invention disclosure includes the combination of reinforcement learning agents in a market-based or performance-based reward framework together with optimization techniques called p, tau, and patches (104) as applied to the problem of topology-and load-based routing in data networks, in order to improve communication performance (106) such as communication latency and bandwidth. The invention also applies to the control of other systems, including operations management, job-shop problems, organizational structure, portfolio management, risk management etc.
Abstract:
The present invention presents a system and method of economic analysis and prediction which dynamically adapts to a changing economic environment by selecting or synthesizing an economic model from a set of economic models based on the selected model's ability to make accurate predictions about an actual economic market. Specifically, the method and system of the present invention forms a space of different economic models (105), forms a behavorial landscape by extracting observables from executions of the economic models (120), and performs model selection and composite model synthesis through optimization (130) over the behavioral landscape.
Abstract:
The present invention relates generally to design and evaluation of research and development, technology transfer, and learning-by-doing, and more particularly to the determination of production plans and the prediction of innovation. A preferred embodiment comprises a method for determining a production plan comprising the steps of: defining a plurality of production recipes such that each of said production recipes is a vector of n operations; selecting a current one of the production recipes; evaluating the current production recipe to determine its cost; modifying the current production recipe to create a trial production recipe (130); evaluating the trial production recipe to determine its cost (140, 150); and assigning the trial production recipe to the current production recipe if the cost of the trial production recipe is less than the cost of the current production recipe.
Abstract:
The invention provides a method of identifying nucleic acid molecules that contain cis acting nucleic acid elements. Also provided is a method of isolating nucleic acid binding factors. The invention also provides methods of identifying compounds that are cis acting nucleic acid element analogs, compounds that are nucleic acid binding factor analogs, compounds that selectively bind cis acting nucleic acid elements and compounds that selectively displace binding between a nucleic acid binding factor and a cis acting nucleic acid element or between nucleic acid binding factors. Also provided is a method of determining a binding state of a nucleic acid. Pluralities of isolated nucleic acid molecules containing cis acting nucleic acid elements, of isolated cis acting nucleic acid elements and of isolated nucleic acid binding factors are also provided. The invention further provides methods of treating pathological conditions using molecules of the invention to alter genetic activites of nucleic acids involved in pathological conditions.
Abstract:
A method and system for evolving electronic circuits based on defined rules. A first approach uses a network (50) of nodes (60) having established topological and behavioral relationships amongst themselves. A second approach employs software agents to create signal filters. The software agents are allowed to evolve in signal parameter space so as to match a reference signal (200), subject to established evolutionary rules and parameter space constraints. Narrowband and a low-pass filter can be formed using such agents.