Protein function in the post-genomic era.

Eisenberg D; Marcotte EM; Xenarios I; Yeates TO

doi:10.1038/35015694

Protein function in the post-genomic era.

Affiliations

1. Molecular Biology Institute and UCLA-DOE Laboratory of Structural Biology and Molecular Medicine, University of California at Los Angeles, 90095-1570, USA.
Authors
Eisenberg D¹
(1 author)

ORCIDs linked to this article

Nature, 01 Jun 2000, 405(6788):823-826
https://doi.org/10.1038/35015694 PMID: 10866208

Review

Abstract

Faced with the avalanche of genomic sequences and data on messenger RNA expression, biological scientists are confronting a frightening prospect: piles of information but only flakes of knowledge. How can the thousands of sequences being determined and deposited, and the thousands of expression profiles being generated by the new array methods, be synthesized into useful knowledge? What form will this knowledge take? These are questions being addressed by scientists in the field known as 'functional genomics'.

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References

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Protein function in the post-genomic era.

Affiliations

Authors

ORCIDs linked to this article

Abstract

Full text links

References

Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.

Genome sequence of the nematode C. elegans: a platform for investigating biology.

Comparison of the complete protein sets of worm and yeast: orthology and divergence.

The COG database: a tool for genome-scale analysis of protein functions and evolution.

A comprehensive analysis of protein-protein interactions in Saccharomyces cerevisiae.

Toward a protein-protein interaction map of the budding yeast: A comprehensive system to examine two-hybrid interactions in all possible combinations between the yeast proteins.

Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling.

Yeast microarrays for genome wide parallel genetic and gene expression analysis.

Exploring the new world of the genome with DNA microarrays.

Cluster analysis and display of genome-wide expression patterns.

Citations & impact

Impact metrics

Citations of article over time

Alternative metrics

Smart citations by scite.ai
Explore citation contexts and check if this article has been supported or disputed.
https://scite.ai/reports/10.1038/35015694

Article citations

GPSFun: geometry-aware protein sequence function predictions with language models.

Predicting protein functions using positive-unlabeled ranking with ontology-based priors.

A comprehensive review and comparison of existing computational methods for protein function prediction.

Pathogenic mutations of human phosphorylation sites affect protein-protein interactions.

Deep-WET: a deep learning-based approach for predicting DNA-binding proteins using word embedding techniques with weighted features.

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Protein function in the post-genomic era.

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