Q9BDL1 AF NFT

Eppin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeife7r4rpyey6u7psc6tsib46up4z3uszbarxbqnyy5hswsdxeeg6i/metadata.json
IPFS of structure file: 
bafybeib5ytvd5dnupjbooxpymg2uaka7r5z5j4nqsxaiueobp3suyuqgii/AF-Q9BDL1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0056155E6B76709C124E31067C4d1B97cA9dA71a
First NFT owner address (bech32): 
genesis1qptp2hntwecfcyjwxyr8cngmjl9fmfc6v8vlhn
Current NFT ID #118980 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
118980
Accession (UniProt):
Q9BDL1
Name::
Eppin
Experimental Method:
Predicted structure
Sequence source:
MACACA MULATTA

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 Q9BDL1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9BDL1|EPPI_MACMU Eppin OS=Macaca mulatta OX=9544 GN=EPPIN PE=2 SV=1 MGSSGLLSLLVLFILLVNVQGPGLTDWLFPRRCPTIREECEFRERDVCTRHRQCPDNKKCCVFSCGKKCLDLKQDVCEMPNETGPCLAFFIRWWYDKKNNTCSTFVHGGCQGNNNNFQSEANCLNTCKNKRFP