B3E8F8 AF NFT

DNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiao375c3lqn6rn5erowqzggord26ehd6oaxyft7v62np5okvyqu54/metadata.json
IPFS of structure file: 
bafybeidlkmzoscymbiq5hzr33v35amizjagbjru7x5pibjaxb3qk6qwpay/AF-B3E8F8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2223Ac8c8050900545d3bBa29942bD35690FBBDd
First NFT owner address (bech32): 
genesis1yg36eryq2zgq23wnhw3fjs4ax45slw7a6hh6p7
Current NFT ID #102943 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
102943
Accession (UniProt):
B3E8F8
Name::
DNA ligase
Experimental Method:
Predicted structure
Sequence source:
Trichlorobacter lovleyi (strain ATCC BAA-1151 / DSM 17278 / SZ)

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 B3E8F8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B3E8F8|DNLJ_TRIL1 DNA ligase OS=Trichlorobacter lovleyi (strain ATCC BAA-1151 / DSM 17278 / SZ) OX=398767 GN=ligA PE=3 SV=1 MQQLSLLDSVVIPDTAQLRAAELRRLLEHHNRCYYELDSPEISDAEYDALFRELQVIEAARPDLLTPDSPTLRVGGKPLARFSQVRHRMPMLSLENAMQEDEIRGFEQRIRSLLALPDTVALQYQCEPKMDGLAVELVYQDGLLVQASTRGDGEVGEEVTANIRTVRNVPLRLTGDNLPALLEVRGEVYLPLAAFQQLNQQREEAGEPPFANPRNAAAGSIRQLDPAVVARRPLAMVCYGVGVMETEARTQTELMSQLAAWGLPVSDQARQVSGIEGAIACFQDLQERRDSLLYEIDGMVIKVDDLRLQQELGEKSRSPRWAIACKFPPRQATTRINEIILSVGRTGVITPVASLEPVELSGVTVSRATLHNWDEIRRKDIRVGDRVIVERAGDVIPAVVKVLLDKRSGTEQELPEPETCPVCGSRAAREAGEVAVRCQGGLACPPQLAESIIHFASRDAMDIDGLGSKYIEQLISLGLVKDIADLYRLTRDDFMQFERMGDKLAENLLAAIASSKQQELSRFIFALGIRHVGERTARTLAERFGSIDNLQTATLEELTSIRDVGPAVAISIRSFFDAPANQTVLQRLKAAGVAPTVEEKRVGGRLAGLTFVFTGTLATLGRDEAKKLVEAEGGNVTGSVSKKTDYVVAGSEAGSKLEKARNLGITVLSEDAFSKLLATGGNQ