Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Sequence signatures and the probabilistic identification of proteins in the Myc-Max-Mad network.

Proceedings of the National Academy of Sciences of the United States of America - 3 May 2005

Atchley William R, Fernandes Andrew D

Abstract excerpt

Accurate identification of specific groups of proteins by their amino acid sequence is an important goal in genome research. Here we combine information theory with fuzzy logic search procedures to identify sequence signatures or predictive motifs for members of the Myc-Max-Mad transcription factor network. Myc is a well known oncoprotein, and this family is involved in cell proliferation, apoptosis, and...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Basic-Leucine Zipper Transcription Factors
Share to Computational Biology

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Helix-Loop-Helix Motifs

Share to Protein Conformation

Share to Proto-Oncogene Proteins c-myc

Share to Repressor Proteins

Share to Sequence Alignment

Share to Sequence Homology

Source

Open in PubMed Open full text

Identifiers

PMID: 15851686
DOI: 10.1073/pnas.0408964102
PMCID: PMC1088358

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Sequence signatures and the probabilistic identification of proteins in the Myc-Max-Mad network.PMID 15851686Read ↗

Sequence motifs in MADS transcription factors responsible for specificity and diversification of protein-protein interaction.Semantic proximity Read ↗

Elucidation of functional markers from Aspergillus nidulans developmental regulator FlbB and their phylogenetic distribution.Semantic proximity Read ↗

MYCbase: a database of functional sites and biochemical properties of Myc in both normal and cancer cells.Semantic proximity Read ↗

Simple biochemical features underlie transcriptional activation domain diversity and dynamic, fuzzy binding to Mediator.Semantic proximity Read ↗

Deep Learning for MYC binding site recognitionSemantic proximity Read ↗

Deep Learning for MYC binding site recognitionSemantic proximity Read ↗

Interaction of MYC with host cell factor-1 is mediated by the evolutionarily conserved Myc box IV motif.Semantic proximity Read ↗

A Novel Prognostic Metric Resolves the <i>MYCN</i> enigma <i>in Silico</i> and Points to a Biosynthetic Regulatory Shift Driven by <i>MYCN</i> Amplification in NeuroblastomaSemantic proximity Read ↗

Identification of bZIP Interaction Partners of Viral Proteins HBZ, MEQ, BZLF1, and K-bZIP Using Coiled-Coil ArraysSemantic proximity Read ↗

Undruggable oncoproteins cMyc and NMyc bind to mediator of transcription with superior high affinitySemantic proximity Read ↗

Predicting specificity-determining residues in two large eukaryotic transcription factor families.Semantic proximity Read ↗

A natural classification of the basic helix-loop-helix class of transcription factors.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.