Back to search

Artificial neural networks for molecular sequence analysis

Data up to Jan 2025

Published1997
Citations111
References155

Total Citations Per Year

Abstract

References (155)

Genetic algorithms in search, optimization, and machine learning

1989 • 49,726 citations

Learning representations by back-propagating errors

1986 • 25,825 citations

Neural networks for pattern recognition

1994 • 19,343 citations

Genetic Programming: On the Programming of Computers by Means of Natural Selection

1992 • 13,426 citations

Self-Organization and Associative Memory

1989 • 8,952 citations

A new method for predicting signal sequence cleavage sites

1986 • 4,629 citations

Adaptive Mixtures of Local Experts

1991 • 4,228 citations

A direct adaptive method for faster backpropagation learning: the RPROP algorithm

2002 • 3,779 citations

Self-Organization and Associative Memory

1988 • 3,729 citations

Handwritten Digit Recognition with a Back-Propagation Network

1989 • 3,249 citations

Advances in neural information processing systems 1

1989 • 3,021 citations

Prediction of Protein Secondary Structure at Better than 70% Accuracy

1993 • 2,958 citations

Beyond regression : new fools for prediction and analysis in the behavioral sciences

1974 • 2,830 citations

Optimal Brain Damage

1989 • 2,765 citations

A Practical Bayesian Framework for Backpropagation Networks

1992 • 2,757 citations

Hierarchical Mixtures of Experts and the EM Algorithm

1994 • 2,520 citations

Beyond Regression : "New Tools for Prediction and Analysis in the Behavioral Sciences

1974 • 2,472 citations

The Cascade-Correlation Learning Architecture

1989 • 2,441 citations

Principles of Neurodynamics.

1963 • 2,287 citations

Fundamentals of Artificial Neural Networks

1996 • 1,889 citations

Pruning algorithms-a survey

1993 • 1,691 citations

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

1991 • 1,641 citations

Protein Folding

1992 • 1,601 citations

What Size Net Gives Valid Generalization?

1989 • 1,555 citations

Combining evolutionary information and neural networks to predict protein secondary structure

1994 • 1,471 citations

The ART of adaptive pattern recognition by a self-organizing neural network

1988 • 1,300 citations

[31] PHD: Predicting one-dimensional protein structure by profile-based neural networks

1996 • 1,291 citations

Predicting the secondary structure of globular proteins using neural network models

1988 • 1,243 citations

Neural Networks: A Review from a Statistical Perspective

1994 • 1,070 citations

Computer systems that learn: classification and prediction methods from statistics, neural nets, machine learning, and expert systems

1991 • 916 citations

Advances in Neural Information Processing Systems 7

1995 • 879 citations

Selection of representative protein data sets

1992 • 823 citations

Prediction of Protein Structure and the Principles of Protein Conformation

1989 • 814 citations

Fundamentals of Artificial Neural Networks

1996 • 805 citations

Prediction of human mRNA donor and acceptor sites from the DNA sequence

1991 • 798 citations

Fast-learning variations on back propagation: an empirical study.

1989 • 732 citations

Improvements in protein secondary structure prediction by an enhanced neural network

1990 • 708 citations

Counterpropagation networks

1987 • 703 citations

Characterization of translational initiation sites inE. coli

1982 • 673 citations

Neural network architectures: an introduction

1991 • 670 citations

Transmembrane helices predicted at 95% accuracy

1995 • 669 citations

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

1991 • 665 citations

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

1982 • 660 citations

Conservation and prediction of solvent accessibility in protein families

1994 • 646 citations

Pattern Recognition by Self-Organizing Neural Networks

1991 • 608 citations

Proceedings of the 1988 Connectionist Models Summer School

1989 • 603 citations

Intelligent Engineering Systems through Artificial Neural Networks

2009 • 594 citations

Neural Networks and Related Methods for Classification

1994 • 583 citations

PHD-an automatic mail server for protein secondary structure prediction

1994 • 561 citations

Optimal Brain Surgeon and general network pruning

2002 • 540 citations

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

1993 • 525 citations

Neural Networks in Computer Intelligence

1994 • 518 citations

Protein secondary structure prediction with a neural network.

1989 • 506 citations

Statistical aspects of neural networks

1993 • 499 citations

A theoretical framework for back-propagation

1988 • 489 citations

Artificial Neural Networks: Approximation and Learning Theory

1992 • 454 citations

Learning Vector Quantization

2001 • 444 citations

Neural Networks in Computer Intelligence

1995 • 417 citations

Improving the convergence of the back-propagation algorithm

1992 • 415 citations

Backpropagation

2013 • 411 citations

Backpropagation: Theory, architectures, and applications

1997 • 396 citations

Models of Neural Networks

1991 • 355 citations

Proceedings: Second international conference on intelligent systems for molecular biology

1994 • 349 citations

Pattern Classification: A Unified View of Statistical and Neural Approaches

1997 • 348 citations

Backpropagation: the basic theory

1995 • 304 citations

Fundamentals of artificial neural networks

1996 • 273 citations

A Novel Approach.

1996 • 259 citations

Prediction of O-glycosylation of mammalian proteins: specificity patterns of UDP-GalNAc:polypeptide N-acetylgalactosaminyltransferase

1995 • 245 citations

Gradient descent learning algorithm overview: a general dynamical systems perspective

1995 • 240 citations

Generalization and Parameter Estimation in Feedforward Nets: Some Experiments

1989 • 232 citations

Identification of Protein Coding Regions In Genomic DNA

1995 • 232 citations

Cleavage site analysis in picornaviral polyproteins: Discovering cellular targets by neural networks

1996 • 227 citations

Bayesian Methods for Backpropagation Networks

1996 • 221 citations

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

1993 • 215 citations

Pattern Classification: A Unified View of Statistical and Neural Approaches.

1998 • 184 citations

Learning translation invariant recognition in a massively parallel networks

1987 • 180 citations

Protein secondary structure and homology by neural networks The α‐helices in rhodopsin

1988 • 176 citations

Prediction of protein structure and the principles of protein conformation

1990 • 175 citations

The gene identification problem: An overview for developers

1996 • 149 citations

Models of Neural Networks III

1996 • 148 citations

Hybrid Architectures for Intelligent Systems

1992 • 148 citations

Proceedings of the 1988 connectionist models summer school

1992 • 147 citations

Neural network optimization forE.colipromoter prediction

1991 • 139 citations

[16] Discovering and understanding genes in human DNA sequence using GRAIL

1996 • 136 citations

A novel approach to prediction of the 3‐dimensional structures of protein backbones by neural networks

1990 • 135 citations

Prediction of structural and functional features of protein and nucleic acid sequences by artificial neural networks

1992 • 129 citations

Protein classification artificial neural system

1992 • 123 citations

Neural networks for secondary structure and structural class predictions

1995 • 122 citations

Predicting protein secondary structure using neural net and statistical methods

1992 • 121 citations

Networks and Chaos: Statistical and Probabilistic Aspects

1994 • 120 citations

The Protein Folding Problem and Tertiary Structure Prediction

1994 • 120 citations

Determination of eukaryotic protein coding regions using neural networks and information theory

1992 • 119 citations

Predicting protein secondary structure content

1992 • 106 citations

Neural networks for full-scale protein sequence classification: Sequence encoding with singular value decomposition

1995 • 103 citations

Proceedings of the 1993 Connectionist Models Summer School

2014 • 99 citations

Accelerating backpropagation through dynamic self-adaptation

1996 • 90 citations

Training back-propagation neural networks to define and detect DNA-binding sites

1991 • 87 citations

Learning vector quantization

1988 • 86 citations

[10] Finding protein coding regions in genomic sequences

1990 • 84 citations

An assessment of neural network and statistical approaches for prediction of E.coli Promoter sites

1992 • 83 citations

Proceedings Of The Third International Conference On Intelligent Systems For Molecular Biology

1995 • 75 citations

Application of Neural Networks and Other Machine Learning Algorithms to DNA Sequence Analysis

2018 • 74 citations

Self‐organized neural maps of human protein sequences

1994 • 73 citations

Prediction of protein folding class from amino acid composition

1993 • 73 citations

Optimal Stopping and Effective Machine Complexity in Learning

1993 • 68 citations

Computational Methods in Genome Research

1994 • 66 citations

Using knowledge-based neural networks to improve algorithms: Refining the Chou-Fasman algorithm for protein folding

1993 • 65 citations

Pedagogical pattern selection strategies

1994 • 65 citations

Dynamic node architecture learning: An information theoretic approach

1994 • 61 citations

Identification of a new motif on nucleic acid sequence data using Kohonen's self-organizing map

1991 • 57 citations

Escherichia colipromoters: neural networks develop distinct descriptions in learning to search for promoters of different spacing classes

1992 • 55 citations

Artificial Neural Networks for Pattern Recognition in Biochemical Sequences

1993 • 52 citations

Analysis ofE.colipromoter structures using neural networks

1994 • 52 citations

Neural Network Models for Promoter Recognition

1989 • 51 citations

Cleaning the GenBank Arabidopsis thaliana data set

1996 • 47 citations

A neural network model for the prediction of membrane‐spanning amino acid sequences

1994 • 46 citations

Back-propagation and counter-propagation neural networks for phylogenetic classification of ribosomal RNA sequences

1994 • 44 citations

Optimal stopping and effective machine complexity in learning

2002 • 44 citations

Clustering proteins into families using artificial neural networks

1992 • 43 citations

Improving signal peptide prediction accuracy by simulated neural network

1991 • 42 citations

The protein folding problem and tertiary structure prediction

1995 • 41 citations

Networks and Chaos—Statistical and Probabilistic Aspects

1994 • 41 citations

Artificial neural networks and simulated molecular evolution are potential tools for sequence-oriented protein design

1994 • 41 citations

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

1995 • 40 citations

Investigations of Escherichia coli promoter sequences with artificial neural networks: new signals discovered upstream of the transcriptional startpoint.

1995 • 39 citations

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

1995 • 37 citations

Neural Network Model of the Genetic Code is Strongly Correlated to the GES Scale of Amino Acid Transfer Free Energies

1994 • 37 citations

Motif identification neural design for rapid and sensitive protein family search

1996 • 36 citations

Predicting secondary structures of membrane proteins with neural networks

1993 • 34 citations

Proceedings of 1993 IEEE International Conference on Neural Networks (ICNN '93)

1993 • 33 citations

Detection of RNA polymerase II promoters and polyadenylation sites in human DNA sequence

1996 • 33 citations

Neural network analysis of protein tertiary structure

1990 • 31 citations

[5] Gene classification artificial neural system

1996 • 30 citations

LGANN: a parallel system combining a local genetic algorithm and neural networks for the prediction of secondary structure of proteins

1995 • 25 citations

HTP: a neural network-based method for predicting the topology of helical transmembrane domains in proteins

1996 • 23 citations

Application of artificial neural networks for prokaryotic transcription terminator prediction

1994 • 22 citations

Neural network system for the evaluation of side-chain packing in protein structures

1995 • 22 citations

Prediction of protein secondary structures by a neural network

1993 • 20 citations

A hybrid method to cluster protein sequences based on statistics and artificial neural networks

1993 • 20 citations

Application of neural networks and other machine learning algorithms to DNA sequence analysis

1988 • 19 citations

Clustering proteins into families using artificial neural networks

1992 • 18 citations

Classification neural networks for rapid sequence annotation and automated database organization

1993 • 18 citations

Potentially functional regions of nucleic acids recognized by a Kohonen's self-organizing map

1993 • 17 citations

Identification of ribosome binding sites inEscherichia coliusing neural network models

1995 • 15 citations

Untitled

1997 • 13 citations

Protein structure prediction: selecting salient features from large candidate pools.

1993 • 10 citations

Analysis of tRNA Gene Sequences by Neural Network

1995 • 9 citations

A parallel neural network simulator on the connection machine CM-5

1995 • 8 citations

Analysis of transcription control signals using artificial neural networks

1995 • 7 citations

DNA sequence analysis using hierarchical ART-based Classification Networks.

1994 • 7 citations

USE OF THE BACKPROPAGATION NEURAL NETWORK ALGORITHM FOR PREDICTION OF PROTEIN FOLDING PATTERNS

1993 • 6 citations

Applications of Artificial Neural Networks in Genome Research

1994 • 4 citations

Detection of compositional constraints in nucleic acid sequences using neural networks

1995 • 4 citations

USING KNOWLEDGE-BASED NEURAL NETWORKS TO REFINE EXISTING BIOLOGICAL THEORIES

1993 • 4 citations

Comparison of two variations of neural network approach to the prediction of protein folding pattern.

1993 • 3 citations

Cited By (0)

Loading...
Artificial neural networks for molecular sequence analysis (1997) – Computers & Chemistry | Metascience Observatory Explorer