Q9GPS3 AF NFT

Rho-related protein racF2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie72ggannm57csqr4pp3vlm7ejw4y4d5v5ovf2iqwb2sto7vxmpai/metadata.json
IPFS of structure file: 
bafybeidw7qrvfhdpoe2b37baol6gc7vmxdvyc4mknzektjp6otuwaoe2ji/AF-Q9GPS3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf0Aa067888A3e900110FDD599F9Aa39D7DF7a484
First NFT owner address (bech32): 
genesis17z4qv7yg505sqyg0m4velx4rn47l0fyyn4wluk
Current NFT ID #331864 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
331864
Accession (UniProt):
Q9GPS3
Name::
Rho-related protein racF2
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 Q9GPS3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9GPS3|RACF2_DICDI Rho-related protein racF2 OS=Dictyostelium discoideum OX=44689 GN=racF2 PE=3 SV=1 MQNIKCVVVGDGAVGKTCMLISYTTNGFPSEYLPTVFDNYCANLMLDGKPYSLGLWDTAGQEEYDRLRPLSYPQTDVFLICFSIISQSSFENVSTKWFKEVNHHAPGVPIVLVGTKQDIRNDNDSIKKLKERNIELVPYEKGLEKAKEINAIYLEASALTQRGVKNVFDQCIRSVIYPNKLNKKPKKKTCTIM