Q7MBH2 AF NFT

DNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidzk33paopepbweb3mjmteewsm5on4oiy2jifxpbleen5zg7t2soa/metadata.json
IPFS of structure file: 
bafybeiggeldpboaerwsfkhn54q4sayr3ej2x7ha44o2m5bxwe6i44fl2py/AF-Q7MBH2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x623e0AA2287938657C964a77A11F8Ac724f49e95
First NFT owner address (bech32): 
genesis1vglq4g3g0yux2lykffm6z8u2cuj0f8542j3a4t
Current NFT ID #102699 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
102699
Accession (UniProt):
Q7MBH2
Name::
DNA ligase
Experimental Method:
Predicted structure
Sequence source:
PHOTORHABDUS LAUMONDII SUBSP. LAUMONDII (STRAIN DSM 15139 / CIP 105565 / TT01)

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 Q7MBH2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7MBH2|DNLJ_PHOLL DNA ligase OS=Photorhabdus laumondii subsp. laumondii (strain DSM 15139 / CIP 105565 / TT01) OX=243265 GN=ligA PE=3 SV=1 MKSTAQQIEKLRTTLRHHEYLYHVMDAPEIPDAEYDRLMQELQDLEEQYPELITSDSPTQRIGAAPLAAFEQVRHEIPMLSLDNVFDEESYLAFDKRVRDRLKETQDLVVCCELKLDGLAVSLLYENGELVRAATRGDGTTGENITSNIRTIGAIPLRLFGENIPARIEIRGEVFMPQKGFEKLNEEARRTGAKVFANPRNAAAGSLRQLDPRITAKRPLAFFCYGVGILEGGELPASHYERLIQFKKWGLPVSDKVKVCTDSQQVIDFYHDIVNQRSALGFDIDGVVVKINSLELQEILGFVARAPRWATAFKFPAQEQMTIVRDVEFQVGRTGAITPVARLEPVQVSGVIVSNATLHNADEIERLGLRIGDTVIIRRAGDVIPQVVGVLEERRPQDSNVVVFPEHCPVCGADIERIEGEAVARCTGGLVCGAQRKEALRHFVSRRAMDVDGMGEKIIDQLVDKEYVKTPADLFRLTAGKLTGLDRMGPKSAQNVVDALEKAKKTTFARFLYALGIREVGEATAANLAAHFGELDKLRSADEEALKEVQDVGEVVAKHVVNFFIEPHNQTVIDDLIDDIGINWEPVVVTRAEKIDSPFSGKTVVLTGSLHQLSRDEAKAKLVALGAKVTGSVSKKTDLVIAGEAAGSKLAKANELNIPVIDEEEMIRLLGE