Q49564 AF NFT

Chaperonin GroEL (Fragment)

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifvyd5kxwbbui5x32pwg62brsslmv6wbyfatsee2gilvgfqz2rtmq/metadata.json
IPFS of structure file: 
bafybeiezxynuw7u5juwjmy26fw3lesvgd7ncwqaa6hvk34xgq65eguxxf4/AF-Q49564-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd10960F956646DE8b64d3598984c91C2d5Af3D7b
First NFT owner address (bech32): 
genesis16yykp72kv3k73djdxkvfsny3ct2670tm7h5hjv
Current NFT ID #60739 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
60739
Accession (UniProt):
Q49564
Name::
Chaperonin GroEL (Fragment)
Experimental Method:
Predicted structure
Sequence source:
Mycobacterium intracellulare

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 Q49564 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q49564|CH60_MYCIT Chaperonin GroEL (Fragment) OS=Mycobacterium intracellulare OX=1767 GN=groEL PE=3 SV=1 PYEKIGAELVKEVAKKTDDVAGDGTTTATVLAQALVREGLRNVAAGANPLGLKRGIEKAVEKVTETLLKSAKEVETKDQIAATAAISAGDQSIGDLIAEAMDKVGNEGVITVEESNTFGL