Q0K6Q0 AF NFT

Proline--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeids5glyn4efb672og5capbo6nxvuyuh5psqbylnrmewr4ileelyea/metadata.json
IPFS of structure file: 
bafybeifjgreszlotd2mxxgkmlbiacueyafqlqfeydumucu6e4zapzw7y6e/AF-Q0K6Q0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xEa58c7534E5701aA8370E0fAEb19b7e14653e69c
First NFT owner address (bech32): 
genesis1afvvw56w2uq64qmsurawkxdhu9r98e5uajuhsx
Current NFT ID #451676 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
451676
Accession (UniProt):
Q0K6Q0
Name::
Proline--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Cupriavidus necator (strain ATCC 17699 / DSM 428 / KCTC 22496 / NCIMB 10442 / H16 / Stanier 337)

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 Q0K6Q0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0K6Q0|SYP_CUPNH Proline--tRNA ligase OS=Cupriavidus necator (strain ATCC 17699 / DSM 428 / KCTC 22496 / NCIMB 10442 / H16 / Stanier 337) OX=381666 GN=proS PE=3 SV=1 MKASQFFISTLKEAPADAEIVSHKLMMRAGMIKKLGAGIYNYMPIGLRVIRKVENIVREEMNRAGAVELSMPVIQPAELWQETGRWDKMGPELLRLKDRHERDFAVQPTSEEVVTDIARSEIRSYKQLPVNFYQIQTKFRDERRPRFGIMRGREFTMKDAYSFDRDTDGLRKSYENMYDAYVRIFRRFGLEFRAVAADNGAIGGSGSHEFHVIADTGEDAIVYCPTSDYAANMEAAEALPLLASRAAPAEDLVKTATPEKAKCEHVAEFLGIPLQRTVKSIVLAKDTEAGAEIWLLLIRGDHELNEVKASKVPGLADFRFATENEIVDAFGSPPGYLGPIGAKKPVKVVADRTVANMSDFVCGANYRDYHYTGVNWGRDLPEPVVADLRNVVAGDASPDGQGTLEICRGIEVGHVFMLGTRYSESMNATFLDENGKTQPMQMGCYGIGVTRILGAAIEQNFDERGIIWPAAIAPFAVVICPVGYDRSEAVKAEADRIHAELLAAGVDVILDDRGERPGVMFADWELIGVPHRVVVGDRGLKEGKVEYQGRRDAQATAVSVADVVGHVRSQLAN