Q9I929 AF NFT

Fucolectin-3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihxhf36jgatkrz3c3zt54be7f4axbmd7t3itrbzw3ysqz4lus2aly/metadata.json
IPFS of structure file: 
bafybeiednkcaamefctc4jyqfwfcadip2bmwtpmckdqsttkvzxespzmbz6i/AF-Q9I929-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x570223B6645226588372Fd044195007001f1EB3A
First NFT owner address (bech32): 
genesis12upz8dny2gn93qmjl5zyr9gqwqqlr6e6m7xxma
Current NFT ID #138035 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
138035
Accession (UniProt):
Q9I929
Name::
Fucolectin-3
Experimental Method:
Predicted structure
Sequence source:
ANGUILLA JAPONICA

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 Q9I929 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9I929|FUCL3_ANGJA Fucolectin-3 OS=Anguilla japonica OX=7937 PE=2 SV=1 MEVKMIILLFQILAISTLKSDSADIPEGYIQENVALRGRATQSAQLKGEFAGFAHASNAIDGNRDSNYHHGSCSHTEGDNSWWRVDLKQVYTITSVTITNRGDCCGERISGARILIGKHLENNGINNPECSTINIMAAGETKTFHCPQPMIGRYVTVYLPKAESLQLCEVEVNVLFPAPC