Q9I925 Fucolectin-7 MolNFT, Molecular NFT on GenesisL1

Fucolectin-7

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeigmeevf6h3cobbkg2wjq6d62r23zapysx3zbga3ytvwwwnvck7lj4/metadata.json

IPFS of structure file:

bafybeif2nzgncolutex2ziytmsgj4fx7hnboc4mjudcyfeod4ziv3rz3by/AF-Q9I925-F1-model_v2.pdb

First NFT owner address (eip-55):

0xA05C03312A50fd47Fd710A12DeAaAB1Df3db1bCA

First NFT owner address (bech32):

genesis15pwqxvf22r750lt3pgfda24trheakx723ruww0

Current NFT ID #138039 owner (web3):

0x1a68bc8B8a369482B790efFfC148F4639Ac79877

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
138039
Accession (UniProt):
Q9I925
Name::
Fucolectin-7
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 Q9I925 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9I925|FUCL7_ANGJA Fucolectin-7 OS=Anguilla japonica OX=7937 PE=2 SV=1 MKTCNLTDRMEVKMIMLLFQILAISTLKSDSADIPEGYIQENVALRGRATQSAQLRGDHSGIAHASNAIDGNRDSVFYHGSCTHTEADKPWWRVDLLQVYTITSVTITNRGDCCEERISGARILIGKHLENNGINNPQCSVIGPMAAGETKTFRCPQPMIGRYVTVYLPKAESLHLCEVEVNVLFPAPC

Q9I925 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q9I925 research and analysis (ICN3D with VR)

FASTA sequences

We use cookies on this site to enhance your user experience