Literature DB >> 1784175

Neural networks for protein structure prediction.

L H Holley, M Karplus.   

Abstract

Mesh：

Substances：

Year:  1991        PMID： 1784175     DOI： 10.1016/0076-6879(91)02012-x

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN： 0076-6879            Impact factor:   1.600


× No keyword cloud information.
  7 in total

1.  The importance of larger data sets for protein secondary structure prediction with neural networks.

Authors:  J M Chandonia; M Karplus
Journal:  Protein Sci       Date:  1996-04       Impact factor: 6.725

2.  Model for the light-harvesting complex I (B875) of Rhodobacter sphaeroides.

Authors:  X Hu; K Schulten
Journal:  Biophys J       Date:  1998-08       Impact factor: 4.033

3.  Rearranging the domains of pepsinogen.

Authors:  X Lin; G Koelsch; J A Loy; J Tang
Journal:  Protein Sci       Date:  1995-02       Impact factor: 6.725

4.  Neural networks for secondary structure and structural class predictions.

Authors:  J M Chandonia; M Karplus
Journal:  Protein Sci       Date:  1995-02       Impact factor: 6.725

5.  The rational design of amino acid sequences by artificial neural networks and simulated molecular evolution: de novo design of an idealized leader peptidase cleavage site.

Authors:  G Schneider; P Wrede
Journal:  Biophys J       Date:  1994-02       Impact factor: 4.033

6.  Predicting the structure of the light-harvesting complex II of Rhodospirillum molischianum.

Authors:  X Hu; D Xu; K Hamer; K Schulten; J Koepke; H Michel
Journal:  Protein Sci       Date:  1995-09       Impact factor: 6.725

7.  Structural/functional properties of the Glu1-HSer57 N-terminal fragment of human plasminogen: conformational characterization and interaction with kringle domains.

Authors:  S S An; D N Marti; C Carreño; F Albericio; J Schaller; M Llinas
Journal:  Protein Sci       Date:  1998-09       Impact factor: 6.725
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.