A0KGL0 AF NFT

Co-chaperonin GroES

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih4ubw5hjfzzueeisvl5pr3cvkijqpvf72vwl2mruqh4y5aydlhma/metadata.json
IPFS of structure file: 
bafybeihb5b7zn3yvrjwtlu2vp5uu6rabx7peggpv7es7mca3f3heprlot4/AF-A0KGL0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xe340A9B41D01C54a08445aF15bF7964694Ad25cd
First NFT owner address (bech32): 
genesis1udq2ndqaq8z55zzyttc4haukg6226fwd38lz5q
Current NFT ID #59280 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
59280
Accession (UniProt):
A0KGL0
Name::
Co-chaperonin GroES
Experimental Method:
Predicted structure
Sequence source:
Aeromonas hydrophila subsp. hydrophila (strain ATCC 7966 / DSM 30187 / BCRC 13018 / CCUG 14551 / JCM 1027 / KCTC 2358 / NCIMB 9240 / NCTC 8049)

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 A0KGL0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0KGL0|CH10_AERHH Co-chaperonin GroES OS=Aeromonas hydrophila subsp. hydrophila (strain ATCC 7966 / DSM 30187 / BCRC 13018 / CCUG 14551 / JCM 1027 / KCTC 2358 / NCIMB 9240 / NCTC 8049) OX=380703 GN=groES PE=3 SV=1 MKIRPLHDRVIIKRIEAEAKSAGGIVLTGTAAQKSTRGEVLAVGTGRILDNGDVKALAVKVGDKVIFNEGYGVKTEKLDGQDVLILSETDILAIVEE