A7Z261 AF NFT

DNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidi2l7u3fh3pxomqvhzcgo3tf3duqsvzdy4h3bm4gihyvi5ricvgy/metadata.json
IPFS of structure file: 
bafybeigdaytlbqwlmvz5kf7gotax6igo3uo3st77ahl625ovq2jo6xjbjq/AF-A7Z261-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd91633319BDB0a92cbC4f08DeA734Bf74C030064
First NFT owner address (bech32): 
genesis1mytrxvvmmv9f9j7y7zx75u6t7axqxqry8u4g92
Current NFT ID #102279 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
102279
Accession (UniProt):
A7Z261
Name::
DNA ligase
Experimental Method:
Predicted structure
Sequence source:
Bacillus velezensis (strain DSM 23117 / BGSC 10A6 / LMG 26770 / FZB42)

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 A7Z261 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7Z261|DNLJ_BACVZ DNA ligase OS=Bacillus velezensis (strain DSM 23117 / BGSC 10A6 / LMG 26770 / FZB42) OX=326423 GN=ligA PE=3 SV=1 MMDKETAKHRAEELRRTIDQYSYEYYTLDEPSVPDSEYDRLMQELIAIEEEHPELRTPDSPTQRVGGAVLESFQKVQHGTPMLSLGNAFNDDDLRDFDRRVRQAVGDGVAYNVELKIDGLAVSLRYEDGYFVRGATRGDGTTGEDITENLKTIRNIPLKMKRNLSIEVRGEAYMPKQSFEALNEERLKHEEEPFANPRNAAAGSLRQLDPKIAAKRNLDIFVYSIAELDEMGVETQSQGLDFLDELGFKTNQERKKCATIDEVIEMIEELQAKRADLPYEIDGIVIKVDSLDQQEELGYTAKSPRWAIAYKFPAEEVVTKLLDIELNVGRTGVITPTAVLEPVKVAGTTVSRASLHNEDLIKEKDIRILDKVVVKKAGDIIPEVVNVLIEQRTGEEKEFNMPTGCPECESELVRIEGEVALRCINPECPAQIREGLIHFVSRNAMNIDGLGERVITQLFREHLVRNVADLYKLTKEQVIRLERMGEKSTDNLISSIQKSKENSLERLLFGLGIRFIGSKAAKTLAMHFESLENLKQVTEEELLAVDEIGEKMADAVITYFRKEEMLELLNELEELGVNTLYKGPKKVKAEDSDSYFAGKTIVLTGKLEELSRNEAKAQIEALGGKLTGSVSKKTDLLIAGEAAGSKLTKAQELNIEVWNEAQLLGELKK