Q9HVJ9 AF NFT

RNA 3'-terminal phosphate cyclase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif4ckj5zsmvcnltd3oohuqiof4wnlc3xwrrsy3bnnxicma6ui6ov4/metadata.json
IPFS of structure file: 
bafybeigqhga6fgj65wwfovip4sicph6svor7tazwimyebzorr3aqeuk2bi/AF-Q9HVJ9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x78Cc7f9BF18AF8279e492D45EE7Fe9d7cC6f6D07
First NFT owner address (bech32): 
genesis10rx8lxl33tuz08jf94z7ullf6lxx7mg8844d65
Current NFT ID #415128 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
415128
Accession (UniProt):
Q9HVJ9
Name::
RNA 3'-terminal phosphate cyclase
Experimental Method:
Predicted structure
Sequence source:
PSEUDOMONAS AERUGINOSA (STRAIN ATCC 15692 / DSM 22644 / CIP 104116 / JCM 14847 / LMG 12228 / 1C / PRS 101 / PAO1)

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 Q9HVJ9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9HVJ9|RTCA_PSEAE RNA 3'-terminal phosphate cyclase OS=Pseudomonas aeruginosa (strain ATCC 15692 / DSM 22644 / CIP 104116 / JCM 14847 / LMG 12228 / 1C / PRS 101 / PAO1) OX=208964 GN=rtcA PE=3 SV=1 MRKDLIELDGSEGGGQILRSALSLSMTSGQPLRIRNIRGRRSRPGLLRQHLTAVRAAAEICAAEVEGAELGSRELAFRPGAIRAGDYAFAIGSAGSCSLVLQTLLPALLAANGESRVRISGGTHNPLAPPADFLRDSWLPLLQRMGAEVDLELLRHGFVPAGGGELLARVRPARWRPLQLEHPGAALRRQARALLAGIPGHVGERELERVRQRLGWSDEERQLEFLAEDQGPGNALLLRIDCEHICATFCAFGQAGVSAERVAEQVATQAIGWMESGCAADEHLADQLLLPMALAGAGSFTTPRLSAHLQSNRRVIERFLPVRIGDQALDGGGHRIVITSA