Q0RB64 AF NFT

Chaperonin GroEL 4

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiho3rgrq37knmnbni4q7gib3heggth37em3feerbqdgke4xdpayk4/metadata.json
IPFS of structure file: 
bafybeigcoq4xx77awqnraomlugri6vf6btimfmi5ciytvz6rd56ti3mici/AF-Q0RB64-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd1A2963012bEcbC7A8f505464439Ab678C48936f
First NFT owner address (bech32): 
genesis16x3fvvqjhm9u0284q4rygwdtv7xy3ym0jw3rdp
Current NFT ID #60279 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
60279
Accession (UniProt):
Q0RB64
Name::
Chaperonin GroEL 4
Experimental Method:
Predicted structure
Sequence source:
Frankia alni (strain ACN14a)

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 Q0RB64 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0RB64|CH604_FRAAA Chaperonin GroEL 4 OS=Frankia alni (strain ACN14a) OX=326424 GN=groEL4 PE=3 SV=1 MPKIIAFDEEARRGLERGMNQLADAVKVTLGPKGRNVVLEKKWGVPTITNDGVSIAKEIELEDPYEKIGAELVKEVAKKTNDVAGDGTTTATILAQALVREGLRNVAAGANPLGLKKGIEVAVERVSEELSKQAKEVETKEQIASTASISAGDSAIGGLIAEALDKVGKEGVVTVEESNTFGLELELTEGMRFDKGYISPYFVTDADRQEAVLDDPYILIVNSKIAAVKDLLPLLEKVMQTSKPLVIISEDVEGEALATLVVNKIRGTFKSVAVKAPGFGDRRKAILGDIAILTGGQVISEDVGLKLESTSLDLLGRARKIVVTKDETTVVEGSGDPDQIAGRVSQIRNEIDKSDSDYDREKLQERLAKLAGGVAVIKVGAATEVELKEKKHRIEDAVSNAKAAVEEGIVAGGGVALLQASITAFEKLDLSGDEATGANIVRLALEAPIKQIAFNSGLEGGVVVDKVRNLPTGHGLNAATGEYVDLIATGIIDPAKVTRSALQNAASIAGLFLTTEAVIADKPEKNPAPAVPGGGGEMDF