Detailed information of deep learning profile BP000734.1

This page shows detailed deep learning-derived predictions and motifs for NR3C1 in A549 using a single trained BPNet model. Please scroll down the page to browse other models for this transcription factor.

Model details

Name: NR3C1
Model ID: BP000734.1
Cell line/tissue: A549
Class: Nuclear receptors with C4 zinc fingers
Family: Steroid hormone receptors (NR3)
Best Match(es): MA0113.4
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: P04150  
Source: ENCSR686PFM
Model: BPNet

Contribution weight matrix (CWM)

A [ -3.80e-07 4.54e-03 4.52e-02 0.00e+00 2.28e-02 -5.52e-04 2.57e-03 1.60e-03 -2.06e-03 5.52e-05 -4.22e-04 1.35e-03 -5.85e-04 -1.26e-03 ]
C [ -2.14e-06 -9.43e-04 -6.11e-06 6.81e-02 -9.99e-05 5.15e-04 -1.46e-03 2.68e-03 1.85e-03 -9.93e-05 -3.27e-04 -9.23e-04 3.21e-02 3.84e-03 ]
G [ 4.76e-02 -1.33e-03 -1.17e-04 -1.42e-05 8.43e-04 3.83e-04 -1.15e-03 -9.34e-05 -1.15e-03 5.83e-02 -3.52e-04 -9.87e-04 -2.30e-04 -1.98e-05 ]
T [ -9.49e-06 2.13e-03 -8.04e-05 -5.24e-06 -3.05e-04 3.67e-03 2.81e-03 -4.75e-04 1.25e-02 -1.77e-05 3.78e-02 2.60e-03 -7.67e-04 4.80e-03 ]

Frequency matrix

A [ 498 4648 10043 0 8434 1990 3319 2931 2418 0 1328 2659 1805 1921 ]
C [ 41 1340 65 10694 213 2582 2115 3185 751 2 678 2318 6626 3611 ]
G [ 9791 2099 164 1 522 2765 1960 2571 689 10700 589 1832 358 671 ]
T [ 372 2615 430 7 1534 3366 3308 2016 6844 0 8107 3894 1913 4500 ]

Alternative motif patterns (AMPs)

18 profiles found for the same TF (NR3C1) in other cell types/tissues

Display profiles


Model ID Name Data Source Cell line/tissue Species Sequence logo
BP000789.1 NR3C1 ENCSR000BHE A549 Homo sapiens
BP000837.1 NR3C1 ENCSR287FWE A549 Homo sapiens
BP000919.1 NR3C1 ENCSR908AOO A549 Homo sapiens
BP000983.1 NR3C1 ENCSR000BJC Ishikawa Homo sapiens
BP001035.1 NR3C1 ENCSR773NQB A549 Homo sapiens
BP001127.1 NR3C1 ENCSR660RYY A549 Homo sapiens
BP001151.1 NR3C1 ENCSR919OXR A549 Homo sapiens
BP001200.1 NR3C1 ENCSR458VTP A549 Homo sapiens
Showing 8 profiles of page 2 from 2 pages