P26776 AF NFT

Carbohydrate-binding protein AWN

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifixcxsa2h4jk63gqrjfwze5l7brwcz7fjokrm37trhqs2obel7l4/metadata.json
IPFS of structure file: 
bafybeib27zsxto67fjkodxauxiyio2liuz5dsvvm6buzxupy2yuyt6qvbu/AF-P26776-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0DF68D5A24Fe8568Ded6c0b9E1a4fa9DDAF7B4AF
First NFT owner address (bech32): 
genesis1phmg6k3yl6zk3hkkczu7rf86nhd00d90s5pssc
Current NFT ID #39479 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
39479
Accession (UniProt):
P26776
Name::
Carbohydrate-binding protein AWN
Experimental Method:
Predicted structure
Sequence source:
SUS SCROFA

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 P26776 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P26776|AWN_PIG Carbohydrate-binding protein AWN OS=Sus scrofa OX=9823 PE=1 SV=2 MKLAAPSLALLLSTATLVSGAWNRRSRSCGGVLRDPPGKIFNSDGPQKDCVWTIKVKPHFHVVLAIPPLNLSCGKEYVELLDGPPGSEIIGKICGGISLVFRSSSNIATIKYLRTSGQRASPFHIYYYADPEGPLQFPYFDRQTIIATEKNIP