Q9I930 AF NFT

Fucolectin-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieuhymjqix3is4lolmlktgulsfrnmyulz4gfoennfywrti7y3one4/metadata.json
IPFS of structure file: 
bafybeihpt6bvxy6rl7ejpdjl3ekiwqstczpimhzhjz4srdurtca2sijqjm/AF-Q9I930-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x824AAc5fbc763cb93189a487C7E11f47EcFbbf94
First NFT owner address (bech32): 
genesis1sf92chauwc7tjvvf5jru0cglglk0h0u5vdq6st
Current NFT ID #138034 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
138034
Accession (UniProt):
Q9I930
Name::
Fucolectin-2
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 Q9I930 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9I930|FUCL2_ANGJA Fucolectin-2 OS=Anguilla japonica OX=7937 PE=2 SV=1 MKVKMIMLLFQILAILTLKSDSADVPDGYIQENVALRGRATQSAQLRGEHAGISHASNAIDGNRDSYFYHGSCSHTEGDNPLWRVDLLQVYTITSVTITNRGDCCGERISGARILIGKHLENNGINNPECSTINIMAAGETRTFHCPQPMIGRYVTVYLPKTGTLHLCEVEVNVLFPAPC