Q9GF93 AF NFT

Protein PsbN

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihigatosxkfi3qlqpck3yt6rczztg66saph6dx3uvbjwtkilss6aa/metadata.json
IPFS of structure file: 
bafybeigbwpx2obxxwzaigrqvnuc6isyqcqaunqpke2fxs3uv22aizkgjj4/AF-Q9GF93-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x16b7713AB0A29210E6F789787Aee3C4a08446102
First NFT owner address (bech32): 
genesis1z6mhzw4s52fppehh39u84m3ufgyygcgzhk2q2f
Current NFT ID #315471 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
315471
Accession (UniProt):
Q9GF93
Name::
Protein PsbN
Experimental Method:
Predicted structure
Sequence source:
Dioscorea bulbifera

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 Q9GF93 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9GF93|PSBN_DIOBU Protein PsbN OS=Dioscorea bulbifera OX=35874 GN=psbN PE=3 SV=1 METATLVTIFISGLLVSFTGYALYIAFGQPSQQLRDPFEEHGD