Q17WQ9 AF NFT

Ribosome-binding factor A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihuplwuqfshb2dd4gs6jhyfwg6nvpyl6w2iahhceyvsui7ykecozy/metadata.json
IPFS of structure file: 
bafybeidt6sgzjfefnm5mm655l7pmf6lfzk3o5luvgwdstcw6aqc6dt6zqa/AF-Q17WQ9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x71112d4fF7ebb3b617963c05f052289e073082FD
First NFT owner address (bech32): 
genesis1wygj6nlhawemv9uk8szlq53gncrnpqha56an79
Current NFT ID #333437 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
333437
Accession (UniProt):
Q17WQ9
Name::
Ribosome-binding factor A
Experimental Method:
Predicted structure
Sequence source:
Helicobacter acinonychis (strain Sheeba)

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 Q17WQ9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q17WQ9|RBFA_HELAH Ribosome-binding factor A OS=Helicobacter acinonychis (strain Sheeba) OX=382638 GN=rbfA PE=3 SV=1 MNAHKERLESNLLELLQEALSSLNDSELNSLSVTKVECSKGKHHAFVFVLSQDHKILSKLKKAEGLIRQFVLQASGWFKCPKLSFILDNSLEKQLRLDAIFNEIAKGKDDD