Q65MZ9 AF NFT

Co-chaperonin GroES

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeickw2n5rystqtryaghfwfnzb2r6go4hpphwsbiwx6d5bb4ua7iufy/metadata.json
IPFS of structure file: 
bafybeiaidt3fcwn7b5cdkjdohocgmvqhzgx7bl2syq6stihhcbrmmqmzum/AF-Q65MZ9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x62cC98f9d95A9594B87B25Ec1fafe7f1a56329B2
First NFT owner address (bech32): 
genesis1vtxf37wet22efwrmyhkpltl87xjkx2djm4unjj
Current NFT ID #59321 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
59321
Accession (UniProt):
Q65MZ9
Name::
Co-chaperonin GroES
Experimental Method:
Predicted structure
Sequence source:
Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46)

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 Q65MZ9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65MZ9|CH10_BACLD Co-chaperonin GroES OS=Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46) OX=279010 GN=groES PE=3 SV=1 MLKPLGDRVVIELVESEEKTASGIVLPDSAKEKPQEGKVVAAGSGRVLESGERVALEVKTGDRIIFSKYAGTEVKYEGTDYLILRESDILAVIG