B7LLS4 AF NFT

Co-chaperonin GroES

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih7fsdupy4tuuq5y5c75542tloekgqbtuexvojmhmwica5oy5yhiq/metadata.json
IPFS of structure file: 
bafybeidnbxyrqjsxwycdmvuhpvybhnng2kv77ldj4nys5oeybkblywu76a/AF-B7LLS4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x86909E648E70f97B557114F43d121a6C1146e9A3
First NFT owner address (bech32): 
genesis1s6gfueywwruhk4t3zn6r6ys6dsg5d6drzh24vu
Current NFT ID #59506 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
59506
Accession (UniProt):
B7LLS4
Name::
Co-chaperonin GroES
Experimental Method:
Predicted structure
Sequence source:
Escherichia fergusonii (strain ATCC 35469 / DSM 13698 / CCUG 18766 / IAM 14443 / JCM 21226 / LMG 7866 / NBRC 102419 / NCTC 12128 / CDC 0568-73)

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 B7LLS4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7LLS4|CH10_ESCF3 Co-chaperonin GroES OS=Escherichia fergusonii (strain ATCC 35469 / DSM 13698 / CCUG 18766 / IAM 14443 / JCM 21226 / LMG 7866 / NBRC 102419 / NCTC 12128 / CDC 0568-73) OX=585054 GN=groES PE=3 SV=1 MNIRPLHDRVIVKRKEVETKSAGGIVLTGSAAAKSTRGEVLAVGNGRILENGEVKPLDVKVGDIVIFNDGYGVKSEKIDNEEVLIMSESDILAIVEA