The current state of the art in protein structure prediction (Q30424845)

21 June 2017

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title

The current state of the art in protein structure prediction (English)

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protein structure prediction

21 June 2017

main subject

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author name string

Moult J

series ordinal

1

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21 June 2017

publication date

1 August 1996

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Current Opinion in Biotechnology

21 June 2017

published in

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21 June 2017

volume

7

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21 June 2017

issue

4

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21 June 2017

page(s)

422-427

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A critical assessment of comparative molecular modeling of tertiary structures of proteins

21 June 2017

cites work

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Protein structure prediction by threading methods: evaluation of current techniques

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7 January 2021

Evaluation of current techniques for ab initio protein structure prediction

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7 January 2021

The relation between the divergence of sequence and structure in proteins

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7 January 2021

Amino acid substitutions in structurally related proteins. A pattern recognition approach. Determination of a new and efficient scoring matrix.

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Critical evaluation of comparative model building of Streptomyces griseus trypsin.

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Comparative modeling methods: application to the family of the mammalian serine proteases

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Evaluation of comparative protein modeling by MODELLER

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Modeling side-chain conformation

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An algorithm for determining the conformation of polypeptide segments in proteins by systematic search

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Predicting antibody hypervariable loop conformation. I. Ensembles of random conformations for ringlike structures

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Prediction of the folding of short polypeptide segments by uniform conformational sampling

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Confronting the problem of interconnected structural changes in the comparative modeling of proteins.

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Seeking significance in three-dimensional protein structure comparisons.

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One thousand families for the molecular biologist

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Protein superfamilies and domain superfolds

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A Method to Identify Protein Sequences That Fold into a Known Three-Dimensional Structure

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Potential energy functions for threading

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The protein threading problem with sequence amino acid interaction preferences is NP-complete

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Progress in fold recognition.

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Sequence-structure matching in globular proteins: application to supersecondary and tertiary structure determination

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A new approach to protein fold recognition

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Successful protein fold recognition by optimal sequence threading validated by rigorous blind testing

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Threading a database of protein cores

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Protein secondary structure prediction

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Redefining the goals of protein secondary structure prediction

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7 January 2021

Fold recognition and ab initio structure predictions using hidden Markov models and beta-strand pair potentials

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The phospho-beta-galactosidase and synaptotagmin predictions

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7 January 2021

Ab initio structure prediction for small polypeptides and protein fragments using genetic algorithms.

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7 January 2021

Challenging times for bioinformatics

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Structure-based inhibitor design by using protein models for the development of antiparasitic agents

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LINUS: a hierarchic procedure to predict the fold of a protein.

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Molecular docking programs successfully predict the binding of a beta-lactamase inhibitory protein to TEM-1 beta-lactamase

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7 January 2021

10.1016/S0958-1669(96)80118-2

Identifiers

DOI

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21 June 2017

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