A global optimization strategy for predicting alpha-helical protein tertiary structure (Q41736565)

8 October 2017

title

A global optimization strategy for predicting alpha-helical protein tertiary structure (English)

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8 October 2017

S Crivelli

1

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8 October 2017

R Byrd

2

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8 October 2017

E Eskow

3

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8 October 2017

R Schnabe

4

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8 October 2017

R Yu

5

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8 October 2017

T M Philip

6

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8 October 2017

T Head-Gordon

7

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8 October 2017

publication date

1 May 2000

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8 October 2017

published in

Computers & Chemistry

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8 October 2017

volume

24

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8 October 2017

issue

3-4

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8 October 2017

page(s)

489-497

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The solution structure of the Oct-1 POU-specific domain reveals a striking similarity to the bacteriophage lambda repressor DNA-binding domain

8 October 2017

cites work

1 reference

https://api.crossref.org/works/10.1016%2FS0097-8485%2899%2900087-X

7 January 2021

Structure and refinement of the oxidized P21 form of uteroglobin at 1.64 A resolution

1 reference

https://api.crossref.org/works/10.1016%2FS0097-8485%2899%2900087-X

7 January 2021

A Second Generation Force Field for the Simulation of Proteins, Nucleic Acids, and Organic Molecules

1 reference

https://api.crossref.org/works/10.1016%2FS0097-8485%2899%2900087-X

7 January 2021

Protein structure prediction: recognition of primary, secondary, and tertiary structural features from amino acid sequence.

1 reference

https://api.crossref.org/works/10.1016%2FS0097-8485%2899%2900087-X

7 January 2021

Computational studies of protein folding

1 reference

https://api.crossref.org/works/10.1016%2FS0097-8485%2899%2900087-X

7 January 2021

A strategy for finding classes of minima on a hypersurface: implications for approaches to the protein folding problem

1 reference

https://api.crossref.org/works/10.1016%2FS0097-8485%2899%2900087-X

7 January 2021

Poly(L-alanine) as a universal reference material for understanding protein energies and structures

1 reference

https://api.crossref.org/works/10.1016%2FS0097-8485%2899%2900087-X

7 January 2021

Optimal neural networks for protein-structure prediction

1 reference

https://api.crossref.org/works/10.1016%2FS0097-8485%2899%2900087-X

7 January 2021

Differences in hydration structure near hydrophobic and hydrophilic amino acids

1 reference

https://api.crossref.org/works/10.1016%2FS0097-8485%2899%2900087-X

7 January 2021

10 Neural networks for protein structure prediction

1 reference

https://api.crossref.org/works/10.1016%2FS0097-8485%2899%2900087-X

7 January 2021

Improvements in protein secondary structure prediction by an enhanced neural network

1 reference

https://api.crossref.org/works/10.1016%2FS0097-8485%2899%2900087-X

7 January 2021

On the limited memory BFGS method for large scale optimization

1 reference

https://api.crossref.org/works/10.1016%2FS0097-8485%2899%2900087-X

7 January 2021

Prediction of beta-turns in proteins using neural networks.

1 reference

https://api.crossref.org/works/10.1016%2FS0097-8485%2899%2900087-X

7 January 2021

Predicting protein secondary structure content. A tandem neural network approach.

1 reference

https://api.crossref.org/works/10.1016%2FS0097-8485%2899%2900087-X

7 January 2021

An analysis of incorrectly folded protein models. Implications for structure predictions.

1 reference

https://api.crossref.org/works/10.1016%2FS0097-8485%2899%2900087-X

7 January 2021

Direct evidence for modified solvent structure within the hydration shell of a hydrophobic amino acid

1 reference

https://api.crossref.org/works/10.1016%2FS0097-8485%2899%2900087-X

7 January 2021

Evidence for microscopic, long-range hydration forces for a hydrophobic amino acid

1 reference

https://api.crossref.org/works/10.1016%2FS0097-8485%2899%2900087-X

7 January 2021

Predicting the secondary structure of globular proteins using neural network models

1 reference

https://api.crossref.org/works/10.1016%2FS0097-8485%2899%2900087-X

7 January 2021

Combining evolutionary information and neural networks to predict protein secondary structure

1 reference

https://api.crossref.org/works/10.1016%2FS0097-8485%2899%2900087-X

7 January 2021

The importance of hydration for the kinetics and thermodynamics of protein folding: simplified lattice models

1 reference

https://api.crossref.org/works/10.1016%2FS0097-8485%2899%2900087-X

7 January 2021

Toy model for protein folding.

1 reference

https://api.crossref.org/works/10.1016%2FS0097-8485%2899%2900087-X

7 January 2021

Atomic solvation parameters applied to molecular dynamics of proteins in solution

1 reference

https://api.crossref.org/works/10.1016%2FS0097-8485%2899%2900087-X

7 January 2021

Neural-network design applied to protein-secondary-structure predictions

1 reference

https://api.crossref.org/works/10.1016%2FS0097-8485%2899%2900087-X

7 January 2021

10.1016/S0097-8485(99)00087-X

Identifiers

DOI

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journals/candc/CrivelliBESYPH00

8 October 2017

DBLP publication ID

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DBLP Dataset 2021-01-02

28 January 2021

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