Q73KJ8 AF NFT

Proline--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihepkfrjfew4o7uxoq7k6ffcgdtekgst3beyztpphg4332tjthnwu/metadata.json
IPFS of structure file: 
bafybeid7dee6gmna43bekrasg6nlyzh4zk5lmrc2b6ktieros6i7jath44/AF-Q73KJ8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x71112d4fF7ebb3b617963c05f052289e073082FD
First NFT owner address (bech32): 
genesis1wygj6nlhawemv9uk8szlq53gncrnpqha56an79
Current NFT ID #452216 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
452216
Accession (UniProt):
Q73KJ8
Name::
Proline--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Treponema denticola (strain ATCC 35405 / DSM 14222 / CIP 103919 / JCM 8153 / KCTC 15104)

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 Q73KJ8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q73KJ8|SYP_TREDE Proline--tRNA ligase OS=Treponema denticola (strain ATCC 35405 / DSM 14222 / CIP 103919 / JCM 8153 / KCTC 15104) OX=243275 GN=proS PE=3 SV=1 MKMTQMYMPTLREIPNEAVVESHKLLLRAGMIRNLANGLFAYLPLGLKAFRKVEKIIREEMDAIGCLEFKPPVIVPGEIWQESGRWDSMGPELLRIKNRLNQELVVSPTAEEAFTALLKNELSSYKNYPLLTYQINTKYRDEIRPRYGLMRTREFTMKDAYSFHTNDKSLDEAYLSFEKAYIKIFKRCGLTVIGVKADSGAMGGSGSQEFMVESSVGDDTLLLCPSCGYAANEEKAACAPDKEQGNGNMPQGSALSIEEIDTPNVKTIEDLTAFLKTESSSFIKTLIYRVENSEILGNAENGKKAAKNENKTVLIAVCIRGDLEVNEAKLKSSLKASDAILASDTEVEEATGTIVGFAGPVGLKNIPVIADESVMLMHDAVTGALKKDKHLLHVEPSRDFTPAHVFDLRTVRAGDKCAVCGTALYTKKGNELGHIFKLGYKYTKAMNMTYLDENGKQQHPSMGCYGIGLDRLTASIVEEHHDEDGIIWPMSIAPFQVAIVPIKYEGEMQKEADRLYEECKKRGIEALLDDRKERTGVKFKDMDLIGIPIRLVVGEKNLPNIEFKLRKAVESSLVDKDKVVDLVEKTVKEELAKLN