simulated annealing (Buchler GmbH)
90
Structured Review
Buchler GmbH
simulated annealing
Simulated Annealing, supplied by Buchler GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/simulated+annealing+algorithm+implementation/simulated+annealing/pm16108704-18-52-54
Average 90 stars, based on 1 article reviews
Simulated Annealing, supplied by Buchler GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/simulated+annealing+algorithm+implementation/simulated+annealing/pm16108704-18-52-54
Average 90 stars, based on 1 article reviews
simulated annealing - by Bioz Stars,
2026-09
90/100 stars
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other:Article Title: Inferential backbone assignment for sparse data. Article Snippet: This paper develops an approach to protein backbone NMR assignment that effectively assigns large proteins while using limited sets of triple-resonance experiments.. Our approach handles proteins with large fractions of missing data and many ambiguous pairs of pseudoresidues, and provides a statistical assessment of confidence in global and position-specific assignments.. The approach is tested on an extensive set of experimental and synthetic data of up to 723 residues, with match tolerances of up to 0.5 ppm for C and C resonance types. Article Title: Mars – robust automatic backbone assignment of proteins Article Snippet: MARS a program for robust automatic backbone assignment of 13C/15N labeled proteins is presented.. MARS does not require tight thresholds for establishing sequential connectivity or detailed adjustment of these thresholds and it can work with a wide variety of NMR experiments.. Using only 13Cα/13Cβ connectivity information, MARS allows automatic, error-free assignment of 96% of the 370-residue maltose-binding protein. Article Title: A random graph approach to NMR sequential assignment. Article Snippet: Significant progress has been made in assignment algorithms, employing approaches including best-first search (Li and Sanctuary, 1997; Zimmerman et al., 1997), exhaustive and heuristic search (Atreya et al., 2000; BaileyKellogg et al., 2000; Güntert et al., 2000; Vitek et al., 2004), branch-and-bound (Lin et al., 2002), genetic algorithms (Bartels et al., 1997), |