Q7VQM2 AF NFT

Ribosome-binding factor A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia52akmpa4w6kbmnmf42cws3wojwh5f4a3nlmcbqejwbqzwc564ke/metadata.json
IPFS of structure file: 
bafybeicd7je2iocmtq3uxbc4hscg2tm4zrg3b7wbjskdb4bs7hggiyytau/AF-Q7VQM2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7a1388B6Aad67B04634A32f63b8A6D6005eab86c
First NFT owner address (bech32): 
genesis10gfc3d426easgc62xtmrhzndvqz74wrv0qh3l8
Current NFT ID #333219 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
333219
Accession (UniProt):
Q7VQM2
Name::
Ribosome-binding factor A
Experimental Method:
Predicted structure
Sequence source:
Blochmannia floridanus

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 Q7VQM2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7VQM2|RBFA_BLOFL Ribosome-binding factor A OS=Blochmannia floridanus OX=203907 GN=rbfA PE=3 SV=1 MYTKRINRLQRISQEIQRKVAIIIHHKVHDPRVGLPTISGVQVSRDLKNAKIFITFLDKNNIEEINFSILILQKASGFIRFLLANSMNLRTVPVLLFKYDYSLKEGIKICKLISQLK