A1KN09 AF NFT

DNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihjb4q25ptjwrjwtyhmr5shvpqpovpijkcbn7gdhbxy7m3zna75ia/metadata.json
IPFS of structure file: 
bafybeih7p4ctumuzaju3ekeodcldyugyqmvoezwuvpzxqiixeigmgsrx6i/AF-A1KN09-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x11Ee299A711966b8aD757D4cFC2c01135b4a9e44
First NFT owner address (bech32): 
genesis1z8hznxn3r9nt3tt404x0ctqpzdd548jyw5etem
Current NFT ID #102625 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
102625
Accession (UniProt):
A1KN09
Name::
DNA ligase
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM BOVIS (STRAIN BCG / PASTEUR 1173P2)

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 A1KN09 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A1KN09|DNLJ_MYCBP DNA ligase OS=Mycobacterium bovis (strain BCG / Pasteur 1173P2) OX=410289 GN=ligA PE=3 SV=1 MSSPDADQTAPEVLRQWQALAEEVREHQFRYYVRDAPIISDAEFDELLRRLEALEEQHPELRTPDSPTQLVGGAGFATDFEPVDHLERMLSLDNAFTADELAAWAGRIHAEVGDAAHYLCELKIDGVALSLVYREGRLTRASTRGDGRTGEDVTLNARTIADVPERLTPGDDYPVPEVLEVRGEVFFRLDDFQALNASLVEEGKAPFANPRNSAAGSLRQKDPAVTARRRLRMICHGLGHVEGFRPATLHQAYLALRAWGLPVSEHTTLATDLAGVRERIDYWGEHRHEVDHEIDGVVVKVDEVALQRRLGSTSRAPRWAIAYKYPPEEAQTKLLDIRVNVGRTGRITPFAFMTPVKVAGSTVGQATLHNASEIKRKGVLIGDTVVIRKAGDVIPEVLGPVVELRDGSEREFIMPTTCPECGSPLAPEKEGDADIRCPNARGCPGQLRERVFHVASRNGLDIEVLGYEAGVALLQAKVIADEGELFALTERDLLRTDLFRTKAGELSANGKRLLVNLDKAKAAPLWRVLVALSIRHVGPTAARALATEFGSLDAIAAASTDQLAAVEGVGPTIAAAVTEWFAVDWHREIVDKWRAAGVRMVDERDESVPRTLAGLTIVVTGSLTGFSRDDAKEAIVARGGKAAGSVSKKTNYVVAGDSPGSKYDKAVELGVPILDEDGFRRLLADGPASRT