What should the Z‐score of native protein structures be?
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Summary
An estimate of Z‐scores extracted from calorimetric measurements of proteins is offered and it is suggested that the Z‐Scores calculated from different knowledge‐based potentials are generally too small in comparison with the experimental values.
- Type
- article
- Published
- 1998-05-01
- Cited by
- 63
- References
- 32
- Access
- Open access
- OpenAlex
- https://openalex.org/W9605325
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:17954359
Keywords
Computer science, Web browser, World Wide Web, Multimedia, Web page
References
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- Amino acid empirical contact energy definitions for fold recognition in the space of contact maps
- Correlation between rate of folding, energy landscape, and topology in the folding of a model protein HP-36
- Inter-residue interactions in protein structures exhibit power-law behavior.
- Information‐theoretic dissection of pairwise contact potentials
- Knowledge based potentials : the reverse boltzmann methodology, virtual screening and molecular weight dependence
- Filtered neighbors threading
- Residue frequencies and pairing preferences at protein–protein interfaces
- Exploring insights for virulent gene inhibition of multidrug resistant Salmonella typhi, Vibrio cholerae, and Staphylococcus areus by potential phytoligands via in silico screening
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- Modeling protein density of states: Additive hydrophobic effects are insufficient for calorimetric two‐state cooperativity
- A new generation of statistical potentials for proteins.
- The role of secondary structure in protein structure selection
- Performance of Threading Scoring Functions Designed Using New Optimization Method
- How to generate improved potentials for protein tertiary structure prediction: A lattice model study
- Distinguish protein decoys by Using a scoring function based on a new AMBER force field, short molecular dynamics simulations, and the generalized born solvent model
- Information and discrimination in pairwise contact potentials
- Comparison of two optimization methods to derive energy parameters for protein folding: Perceptron and Z score
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