Q9LJ82 AF NFT

S-protein homolog 32

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidgiwfdlofbwdmx5y3ej7thqm2n23puko5jkbkwrxdvd5djpipcgm/metadata.json
IPFS of structure file: 
bafybeiezwidbfra6cqrcsuky6tozmitbolepjckqqcmowfxajkm4tx62gi/AF-Q9LJ82-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6154deB236274613b612033257012c25F7431808
First NFT owner address (bech32): 
genesis1v92dav3kyarp8dsjqve9wqfvyhm5xxqg0mu3x8
Current NFT ID #434866 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
434866
Accession (UniProt):
Q9LJ82
Name::
S-protein homolog 32
Experimental Method:
Predicted structure
Sequence source:
ARABIDOPSIS THALIANA

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 Q9LJ82 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9LJ82|SPH32_ARATH S-protein homolog 32 OS=Arabidopsis thaliana OX=3702 GN=SPH32 PE=3 SV=1 MKYFTIFVFVFSLCMLGHVSGAGIRIVNELKNKKTLWMRCYSKNDVLGPTVIPNGGQFTDYFFHNLFGTTRFMCTLKQGPGFSHSQSFRAFKNSGLWDWRAREDGIYLRRIYKAKFDDGADNLHKEQSWI