Q502F0 AF NFT

Cyclic AMP-responsive element-binding protein 3-like protein 3-A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie4e7u4hzxgiqkat4gamyaledgozp2o6ovxojcgog4t4e2qyfgefa/metadata.json
IPFS of structure file: 
bafybeig5qbqkbx6r5dtdhqwch7rd2o4u52gbdqdjjrndn654sm56hbzlnq/AF-Q502F0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd1A2963012bEcbC7A8f505464439Ab678C48936f
First NFT owner address (bech32): 
genesis16x3fvvqjhm9u0284q4rygwdtv7xy3ym0jw3rdp
Current NFT ID #76251 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
76251
Accession (UniProt):
Q502F0
Name::
Cyclic AMP-responsive element-binding protein 3-like protein 3-A
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT Q502F0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q502F0|CR3LA_DANRE Cyclic AMP-responsive element-binding protein 3-like protein 3-A OS=Danio rerio OX=7955 GN=creb3l3a PE=2 SV=1 MENYSDQGGDGIELLDLLFDKNDGILRYENMGQQNNQLWPVQDPHMMMPPQGNEDFFNALIGGSDSVSGSPVWSPSPSDSGISEDPHSDHIDSPPPNASPPMEPHIVVSQTQHSLNINFPFDFNGWETGFLPDQAGGTQCASETPQAQPATGFPLTVKDLLLSGTPETAAKVSQQSYQELILTEDEKRLLAKEGMTLPNQFPLTKYEERILKKIRRKIRNKQSAQESRKKKKEYIDGLESRMAACSAHNHELQRKVFQLEKCNISLMEQLRRLQALVMNGSNKPVQAGTCVLVLLLSFTLILLPNLKPFTDTKVSQHGDFSPMRVQSRSLHNLQSSRVLRNLDHPYSMTENAKILPRFPEDKTMEEIASLLGRLHRRPQFTEYDPESHNHSFDQHDEHHHGDPITGHVATVTLNPRRGSRRSPHADDM