Q6A7M9 AF NFT

Ribosome-binding factor A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeice7b4hrsu3rokwshej2mguv225ooa7osrlvculcaezuzwu7krhau/metadata.json
IPFS of structure file: 
bafybeihfjq3mykuuioowa6hikrfcz3bunflhza2jyknyfflnuq3b3vspyy/AF-Q6A7M9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0d1295D1ac52773507f2b0928A623F414d101ae6
First NFT owner address (bech32): 
genesis1p5fft5dv2fmn2pljkzfg5c3lg9x3qxhx94c3z0
Current NFT ID #333352 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
333352
Accession (UniProt):
Q6A7M9
Name::
Ribosome-binding factor A
Experimental Method:
Predicted structure
Sequence source:
Cutibacterium acnes (strain DSM 16379 / KPA171202)

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 Q6A7M9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6A7M9|RBFA_CUTAK Ribosome-binding factor A OS=Cutibacterium acnes (strain DSM 16379 / KPA171202) OX=267747 GN=rbfA PE=3 SV=1 MNTPNPRVAKLADQIRVVVAETLERRVKDPRLGFVTITDVRLTGDSRDATLFWTAMGTDKEIAGTEAALESAKGMLRSTVGKRLKLRYAPTLTFVRDATPETAKSIEDALARAAASDAEIARRSQGAMPAGEADPYRHSDEEE