Q02921 AF NFT

Early nodulin-93

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibdlbicndi7wguqfj6xosrtcjzkfwjhrequoeubwvexloophp7mbu/metadata.json
IPFS of structure file: 
bafybeib2b3ti35hfag7bdpwt5v7elhti43efelzj3uc7wggqm3hvzrx4ve/AF-Q02921-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x80B89eAC204820Bfe8A7E83C5Cb1Ee4233C1B22C
First NFT owner address (bech32): 
genesis1szufatpqfqstl698aq79ev0wggeurv3v4s05j9
Current NFT ID #266695 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
266695
Accession (UniProt):
Q02921
Name::
Early nodulin-93
Experimental Method:
Predicted structure
Sequence source:
GLYCINE MAX

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 Q02921 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q02921|NO93_SOYBN Early nodulin-93 OS=Glycine max OX=3847 PE=2 SV=1 MAKGNSPLERPSLASLDQKLAFAKRCSHEGVLAGAKAAVVASVASAIPTLASVRMLPWARANLNHTAQALIISTATAAAYFIVADKTVLATARKNSFNQPSNSEA