Q9ZDN2 AF NFT

Uncharacterized protein RP295

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie7nooyhhevrcvtjxwrpfhdfgaaiwellb4mciccqyt7ga25gfk3ri/metadata.json
IPFS of structure file: 
bafybeicoxdlrfl4o5d4rcah666ighc5gqky2w6c33vtzykqciu7iq5vdaa/AF-Q9ZDN2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8fbb441dA0ED58Fc9A98Aaa85a26F37953c7e917
First NFT owner address (bech32): 
genesis137a5g8dqa4v0ex5c42595fhn09fu06gh6qegzs
Current NFT ID #514157 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
514157
Accession (UniProt):
Q9ZDN2
Name::
Uncharacterized protein RP295
Experimental Method:
Predicted structure
Sequence source:
RICKETTSIA PROWAZEKII (STRAIN MADRID E)

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 Q9ZDN2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ZDN2|Y295_RICPR Uncharacterized protein RP295 OS=Rickettsia prowazekii (strain Madrid E) OX=272947 GN=RP295 PE=3 SV=1 MFRKFLFIQLLIVTSLVKAEIIEVDSLNKITQDFKVNYNKNYLPQDLLVVTVLDKFLFKSFGVPIGEYIDQHRYLALAPLFSHINKNPKIIYITQLILTNNSYKKELQESDFPNFVNEMSNSQIPIIAVNNGFTGNFNNIPKFEIWFADYLKKNFYIDFSKSFPNNNYIIFNNLDSFDNTYPVFYKGILTSNNIPASKVILNFLIQINFIPKCFILISSSRELLRSMEFQLNNYSSNILFIGYHYNNKSISDDKDYKDIAYYTKMINDLIPQINKLKRNNPPLKNNNAKSKNSYETYK