Artificial neural networks for computer-based molecular design. (Q52230724)

27 April 2018

review article

1 reference

title

Artificial neural networks for computer-based molecular design. (English)

1 reference

27 April 2018

artificial neural network

main subject

molecular design

0 references

0 references

author name string

Schneider G

series ordinal

1

1 reference

27 April 2018

Wrede P

series ordinal

2

1 reference

27 April 2018

publication date

1 January 1998

1 reference

27 April 2018

Progress in Biophysics and Molecular Biology

published in

1 reference

27 April 2018

volume

70

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27 April 2018

issue

3

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27 April 2018

page(s)

175-222

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27 April 2018

Do aligned sequences share the same fold?

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The role of innovation in drug development

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Leukosialin, a major O-glycan-containing sialoglycoprotein defining leukocyte differentiation and malignancy

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Cleavage-site motifs in mitochondrial targeting peptides

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Structure-activity relationships from molecular similarity matrices

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Multilayer feedforward networks are universal approximators

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Using Artificial Neural Networks To Classify the Activity of Capsaicin and Its Analogues

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High-throughput cDNA screening utilizing a low order neural network filter.

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Experimentally determined weight matrix definitions of the initiator and TBP binding site elements of promoters

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Analysis of eukaryotic promoter sequences reveals a systematically occurring CT-signal

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Adaptive least-squares method applied to structure--activity correlation of hypotensive N-alkyl-N''-cyano-N'-pyridylguanidines.

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7 January 2021

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7 January 2021

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7 January 2021

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7 January 2021

The receptor-like neural network for modeling corticosteroid and testosterone binding globulins.

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7 January 2021

Computational Geometry

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7 January 2021

Artificial neural networks for pattern recognition in biochemical sequences

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7 January 2021

Predicting the secondary structure of globular proteins using neural network models

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7 January 2021

A note on the low-dimensional display of multivariate data using neural networks

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7 January 2021

Application of Genetic Function Approximation to Quantitative Structure-Activity Relationships and Quantitative Structure-Property Relationships

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PHD: predicting one-dimensional protein structure by profile-based neural networks

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7 January 2021

Secondary structure prediction of all-helical proteins in two states.

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7 January 2021

Improved prediction of protein secondary structure by use of sequence profiles and neural networks

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Transmembrane helices predicted at 95% accuracy

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Topology prediction for helical transmembrane proteins at 86% accuracy

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7 January 2021

Comparison of Automatic Three-Dimensional Model Builders Using 639 X-ray Structures

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7 January 2021

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A Nonlinear Mapping for Data Structure Analysis

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Database of homology-derived protein structures and the structural meaning of sequence alignment

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Sequence logos: a new way to display consensus sequences

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Development of artificial neural filters for pattern recognition in protein sequences

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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

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7 January 2021

Analysis of cleavage-site patterns in protein precursor sequences with a perceptron-type neural network.

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Peptide design in machina: development of artificial mitochondrial protein precursor cleavage sites by simulated molecular evolution

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Feature-extraction from endopeptidase cleavage sites in mitochondrial targeting peptides

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Local structural motifs of protein backbones are classified by self-organizing neural networks.

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The analysis of proximities: Multidimensional scaling with an unknown distance function. I

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Nuclear protein transport

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Predicting the topology of eukaryotic membrane proteins

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Identification of coding regions in genomic DNA sequences: an application of dynamic programming and neural networks

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Identification of protein coding regions in genomic DNA.

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Three-Dimensional Quantitative Structure−Activity Relationships from Molecular Similarity Matrices and Genetic Neural Networks. 1. Method and Validations

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Three-Dimensional Quantitative Structure−Activity Relationships from Molecular Similarity Matrices and Genetic Neural Networks. 2. Applications

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7 January 2021

Use of the ‘Perceptron’ algorithm to distinguish translational initiation sites inE. coli

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7 January 2021

Prediction of protein supersecondary structures based on the artificial neural network method

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7 January 2021

A Genomic Perspective on Protein Families

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The classification of amino acid conservation.

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Applications of neural networks in structure-activity relationships of a small number of molecules.

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HIV-1 reverse transcriptase inhibitor design using artificial neural networks

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Neural network model of the genetic code is strongly correlated to the GES scale of amino acid transfer free energies.

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Analysis of amino acid indices and mutation matrices for sequence comparison and structure prediction of proteins

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Locating protein-coding regions in human DNA sequences by a multiple sensor-neural network approach

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Patterns of amino acids near signal-sequence cleavage sites

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Signal sequences. The limits of variation

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Control of topology and mode of assembly of a polytopic membrane protein by positively charged residues

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Topogenic signals in integral membrane proteins

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Autocorrelation of Molecular Surface Properties for Modeling Corticosteroid Binding Globulin and Cytosolic Ah Receptor Activity by Neural Networks

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https://api.crossref.org/works/10.1016%2FS0079-6107%2898%2900026-1

7 January 2021

Peptide Design Aided by Neural Networks: Biological Activity of Artificial Signal Peptidase I Cleavage Sites

1 reference

https://api.crossref.org/works/10.1016%2FS0079-6107%2898%2900026-1

7 January 2021

Gene classification artificial neural system.

1 reference

https://api.crossref.org/works/10.1016%2FS0079-6107%2898%2900026-1

7 January 2021

Protein volume in solution

1 reference

https://api.crossref.org/works/10.1016%2FS0079-6107%2898%2900026-1

7 January 2021

10.1016/S0079-6107(98)00026-1

Identifiers

DOI

1 reference

27 April 2018

1 reference

27 April 2018