Q642H2 AF NFT

cAMP-responsive element-binding protein-like 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigczstumzldx7nnout6uwstydfbq3h3a76m3knpdbci77ytnuj4je/metadata.json
IPFS of structure file: 
bafybeih3hckh5caohhkup7yu2k2g7kwukhmqjqv5dsawemv2iemir24gie/AF-Q642H2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD8181c44e77460dc4278886267608d4Cf45E86B0
First NFT owner address (bech32): 
genesis1mqvpc388w3sdcsnc3p3xwcydfn69ap4sz2kz6v
Current NFT ID #76351 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
76351
Accession (UniProt):
Q642H2
Name::
cAMP-responsive element-binding protein-like 2
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 Q642H2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q642H2|CRBL2_DANRE cAMP-responsive element-binding protein-like 2 OS=Danio rerio OX=7955 GN=crebl2 PE=3 SV=1 MDDSKIVAGKVKKPGKRGRKPAKIDLKAKLERSRQSARECRARKKLRYQYLEELVSSKERAICALREELDMYKQWCLAMDQGKIPSEIKALLTGDEQKTPQSCSNKTTKNSKYSSSSGI