Q7VRX7 AF NFT

DNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigy543kfrnpdi4lhasimbsoszopfet3ml6g6ncawlcqehclrrcfpa/metadata.json
IPFS of structure file: 
bafybeihhrrhrfbbkv6a4uuarhfl53ujruk5e6yxwurhdd4c6xr2h3uyy2i/AF-Q7VRX7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x29f16e1ADAc85365A3920254a02f930876eb953e
First NFT owner address (bech32): 
genesis198ckuxk6epfktgujqf22qtunppmwh9f7dyzdxh
Current NFT ID #102304 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
102304
Accession (UniProt):
Q7VRX7
Name::
DNA ligase
Experimental Method:
Predicted structure
Sequence source:
BORDETELLA PERTUSSIS (STRAIN TOHAMA I / ATCC BAA-589 / NCTC 13251)

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 Q7VRX7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7VRX7|DNLJ_BORPE DNA ligase OS=Bordetella pertussis (strain Tohama I / ATCC BAA-589 / NCTC 13251) OX=257313 GN=ligA PE=3 SV=1 MAQAGPTPQQAIARLRAEIEQHNIRYYVHDDPSVPDAEYDALMRDLQALEAEHPELVTPDSPTQRVGAAPLAEFGSVRHAVPMLSLGNAFDEEDVRAFDKRVADTLRGAGLLGLDQQVEYFCELKLDGLAISLRYEEGRLAQAATRGDGQTGEDVTANIRTIKGVPLRLHGAPRVLEVRGEVLMNRAEFERLNRTQAARGEKVFVNPRNAAAGSLRQLDPRITAQRPLRFFAYSWGEVHGLPEGMPTRFDEPAPGVRVASTLPRDTHGGMLDWLAELGLPVNLRHNHRERGADGLLAFYERIGKLRADLPYDIDGVVYKVDALPSQRVLGFVARAPRFALAHKFPAEEAVTQLLGIEVQVGRTGAITPVARLAPVFVGGVTVTNATLHNEDEIRRKDVRIGDTVIVRRAGDVIPEVVGPVLEKRPADAREFVMLTACPICGSAIERPESEAIARCTGGLFCAAQRKQTLLHAAGRKALDIEGLGEKLIDQLVDADRVKSLADIYSLTAFELAALERMGKKSAENLVAAIDQARRPALGRLLFALGIRHVGETTARDVARHFGSMERIMDASEEALLAVPDVGGVVAGSIRRFFAEPHNREIVEQLTQQGVHPQAEAEPEGTSLAGKTFVLTGTMPNWTRDEATRRILAAGGKVSGSVSKKTAYLVTGEDAGSKLTKAQELGVPVLDEDGLKALLGL