C6T0L2 AF NFT

Protein SLE3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie2b74nogzrrrojrorzgmejgpb767m7gzjlbmyvewycrer4cyjunm/metadata.json
IPFS of structure file: 
bafybeifsmdeckovi2oeo44ct4jvopttmytva6dajyo4jfatswg3edqpxra/AF-C6T0L2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD74Ee3fe3066743CE19E1989c32B7B039BAb559F
First NFT owner address (bech32): 
genesis16a8w8l3sve6recv7rxyux2mmqwd6k4vl93gwp7
Current NFT ID #429963 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
429963
Accession (UniProt):
C6T0L2
Name::
Protein SLE3
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 C6T0L2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C6T0L2|SLE3_SOYBN Protein SLE3 OS=Glycine max OX=3847 GN=SLE3 PE=2 SV=1 MASHQQNKQELDERARQGETVVPGGTGGKSLEAQQHLAEGRSRGGKTRKEQLGTEGYHEMGRKGGLSTMDKSGEERAQEEAIDIDESKFRTGNNQDKNQNK