A Typical Kobra

Written by Dr Kedar Joshi

A typical and/or ideal Kobra (Kokanastha Brahmin:repparttar one from Maharashtra, India) is :

White, ruthless, arrogant, egoistic, sharp, intelligent, precise, neat, tidy, stubborn, deep, simple, tolerant (often except with mankind), humorous, ironic, hardworking, determined, passionate, handsome, crazy, An artist, racist, introvert, commanding, optimist, bloody-minded, unromantic, learned, studious, boring, hot & short-tempered, cynic, feminine, practical, sadistic, depressed,

Protein Design: Automated protein discovery and synthesis

Written by Paras Chopra

In this paper I describe (theoretically)repparttar method(s) of automated protein discovery and synthesis.

1. Protein Folding Problem To solverepparttar 140233 protein folding problem we can use Artificial Neural Networks. We will trainrepparttar 140234 networks with natural proteins whose 3D structure and amino acid sequence is known. After that we will testrepparttar 140235 network with few new artificially designed proteins to check if it works correctly. If it doesn't, we will be changing some ofrepparttar 140236 network's parameter such as training iterations, no of hidden layers, etc. And trainrepparttar 140237 network again.

To checkrepparttar 140238 protein's 3D structure, we need to have a model of actual physical world inrepparttar 140239 computer model.

2. Simulation of Physical World This isrepparttar 140240 trickiest part. To simulaterepparttar 140241 physical world atrepparttar 140242 atomic level is very difficult. We need to take into account: covalent bonds, spatial & temporal parameters, weak interactions such as hydrogen bonds, dipole interactions, etc. We also need to simulate chemical reactions. This will probably require huge amounts of computing power.

Or perhaps, neural networks can be employed here also asrepparttar 140243 little inaccuracy produced by a neural network can take care of randomness at quantum level. The neural networks will be used to predict/calculaterepparttar 140244 magnitude of effect of various forces on an atom/molecule and also how these behave at a grander inter-molecular level.

3. Designing Proteins To design proteins, we will be using Genetic Algorithm method. The random amino-acid sequences will be evolved & tested by converting these sequences into their respective 3D shape byrepparttar 140245 trained neural network. The best sequences will be retained, while other mutated or crossed-over, etc. The fitness function will work inrepparttar 140246 simulated physical world. Ifrepparttar 140247 protein produced is successful in carrying out our desired unction, then it is fit else it is not. Actually we will assign a fitness level from 0 to 100. Oncerepparttar 140248 final amino acid sequence is determined, it will be sent torepparttar 140249 Protein Printer.

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