LNBI[removed]Minimizing and Learning Energy Functions for Side-Chain Prediction

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Date: 2008-05-01 09:48:13 Bioinformatics Protein structure prediction Dead-end elimination Conformational isomerism Protein folding Energy Simulated annealing Rosetta@home Chemistry Protein structure Protein methods		LNBI[removed]Minimizing and Learning Energy Functions for Side-Chain Prediction Add to Reading List Source URL: www.cs.huji.ac.il Download Document from Source Website File Size: 689,28 KB Share Document on Facebook

	Current Topic pubs.acs.org/biochemistry Computational and Theoretical Methods for Protein Folding Mario Compiani,†,§ and Emidio Capriotti,‡,§ † DocID: 1uwFv - View Document
	Proc. Nati. Acad. Sci. USA Vol. 84, pp, November 1987 Biophysics Spin glasses and the statistical mechanics of protein folding (disordered systems/irreversible denaturation/molten-globule state/biomolecular se DocID: 1t3U8 - View Document
	We present new ideas which attempt to explain why Deep Learning works, taking lessons from Theoretical Chemistry, and integrating ideas from Protein Folding, Renormalization Group, and Quantum Chemistry. We address the i DocID: 1rvWr - View Document
	news and views Preprotein continued protection of chaperones. Cytosolic Hsp70 was known to chaperone the folding of many newly synthesized proteins7, whether they are destined for mitochondria DocID: 1rrtj - View Document
	Are you interested in protein folding and stability? nanoDSF Advanced Differential Scanning Fluorimetry Work with the experts! close to DocID: 1rp1k - View Document