A7NB34 AF NFT

DNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibuij7u2e7yssejoxz2eoxhpbmmly6usifkyq2qkesygrgvnzjt6e/metadata.json
IPFS of structure file: 
bafybeihq7hlobes7vsbltkahab364gzgul7jrt52gdxlhurhse46stz7fu/AF-A7NB34-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1143A10Eac823556c4cb3e5BD2a807B903d506F2
First NFT owner address (bech32): 
genesis1z9p6zr4vsg64d3xt8eda92q8hypa2phjsacsrr
Current NFT ID #102497 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
102497
Accession (UniProt):
A7NB34
Name::
DNA ligase
Experimental Method:
Predicted structure
Sequence source:
Francisella tularensis subsp. holarctica (strain FTNF002-00 / FTA)

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 A7NB34 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7NB34|DNLJ_FRATF DNA ligase OS=Francisella tularensis subsp. holarctica (strain FTNF002-00 / FTA) OX=458234 GN=ligA PE=3 SV=1 MTPNEFFSIKYHILAKAELKAYIDKLADYLSQQSYLYHTLDKPIISDSDYDKLFRLLQDLVNDNPQFKPINSVLDRVGGEVLAGFETIKHKKKMTSLANVFSLEELRDFYDKIEYDIELECEPKMDGLAISIFYKNGKFDYAVTRGDGIQGEKVSENVKTIRNVPLKLNTSNPPEELEVRGEIILDKQSFLSLNEYMQTHENKTFANPRNAAAGSIRMLDSKVVAKRPLKLYSYGIGYFSKDFVYPETQFELMQLLQSFGFTISDNMFLAKNFSEVEEYHHKMSHQRADLAYDIDGLVFKINNIKLQDTIGYTARGPKWAIAYKFPAEEVESEVLNVEFQVGRTGAITPVARLKPVAVGGVIVSNATLHNINEIKRKDIRVGDRVIVRRAGDVIPEVVKSLPQYRKSDAQIVEMPTNCPVCDSKIENVNDQAIYRCTGGWHCQAQTTERLKHFVSRKAMDIDKLGAKLIEQLVAANLIKYPADIYKLNFEQLTGLERMAAKSSQNVLDSITKSKEPSLARFIFAIGIKDIGEVSSDALANHFGSLESFRDAKFEELIEINYIGEIIANNIVSFWHDSLNIKIVEEFLAIGIKIQNPVKVEHAYNESFTGKTVVITGSFENYGRTELTQLLKSIGAKVTSSVSKKTDMVICGDNAGSKLTKAQELGVEVILEDNLKDLL