SELEX_DB: Synthetic oligoDNA's binding the transcription factor MEF-2, muscle ([T+A]-rich site)

Input DNA Sequence :
from Screen:

from DB: Bases Available:
from File:
File formats here.

Select one of 21 MEF-2 related DNA site recognition model listed below:

(A) Sixteen MEF-2 binding site recognitions optimized over the MEF-2 SELEXed data (muscle):

MEF-2(muscle): Frequency matrix for Homology Score
MEF-2(muscle): Frequency matrix for Information content
MEF-2(muscle): Frequency matrix for Matrix similarity
MEF-2(muscle): Frequency matrix for Sensibility score
MEF-2(muscle): Frequency matrix for Fisher's Linear Discriminant
MEF-2(muscle): Frequency matrix for Free energy change
MEF-2(muscle): Frequency matrix for Chance amount
MEF-2(muscle): Consensus with Homology Score
MEF-2(muscle): Consensus with Information content
MEF-2(muscle): Consensus with Matrix similarity
MEF-2(muscle): Consensus with Sensibility score
MEF-2(muscle): Consensus with Fisher's Linear Discriminant
MEF-2(muscle): Consensus with Free energy change
MEF-2(muscle): Consensus with Chance amount
MEF-2(muscle): Mean Recognition Score
MEF-2(muscle): Mean Recognition Score with Diffution Additive

(B) Five additional TF-site recognition procedutes adapted to the others MEF-2 related Natural and SELEXed data ([T+A]-rich site):

MEF-2(muscle): Natural sites MEF-2
MEF-2(muscle): Natural sites SRF ([T+A]-rich site)
MEF-2(muscle): Natural sites TATA-box ([T+A]-rich site)
MEF-2(muscle): OligoDNA's SELEXed by MEF-2 protein (heart)
MEF-2(muscle): OligoDNA's SELEXed by MEF-2 protein (brain)

The Institute of Cytology and Genetics (Russia)

This resource has been developed in collaboration between
The Institute of Cytology and Genetics (Novosibirsk, Russia) and The Institute of Physical and Chemical Research, RIKEN (Thukuba, Japan)
that was supported by RFBR grant #98-07-90126 (Russia) and STA Fellow #499042 (Japan)

Author: Julia Ponomarenko, Galine Orlova, Sergey Lavrushev, Svetlana Zybova,
Misha Ponomarenko, Anatoly Frolov,

Supervisors: Nikolay Kolchanov, Prof. and Akinori Sarai, Prof.