Q9GPS0 AF NFT

Rho-related protein racG

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibvgzohpoplwlry3ry46mz5oxwg2cmep5iyibfeptvz2uinu3jsti/metadata.json
IPFS of structure file: 
bafybeibjlm65nlnyxxlnhebicixothhvxsoe3xxprj2jw3atwzhg2p7g5a/AF-Q9GPS0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xcf28b0D9c0CB442bfDC679409E7FF1221188cA9A
First NFT owner address (bech32): 
genesis1eu5tpkwqedzzhlwx09qfull3yggc3j5660yrk9
Current NFT ID #331865 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
331865
Accession (UniProt):
Q9GPS0
Name::
Rho-related protein racG
Experimental Method:
Predicted structure
Sequence source:
DICTYOSTELIUM DISCOIDEUM

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 Q9GPS0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9GPS0|RACG_DICDI Rho-related protein racG OS=Dictyostelium discoideum OX=44689 GN=racG PE=3 SV=1 MKSIKVCVVGEGGIGKTSMLLSYTSNSISNEYQPTVFDNYSTLLMHNKKPYNLSLWDTAGQEEFSKLRRLSYPQTDVFLLCFSLINPSSFSNILDSWVQELNENCPNTPIVLVGTQMDLKSNSVILDRLCEKKQLPISTQQGIELSKKINAFDFVECSALTQKNLHLVFEKAIDACEAHQKCQSKEKKKNNKKFKKNCIIM