Q0AHH6 AF NFT

DNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigedlpivwrgbcd6preyplmclmlganiavljvwhiifluefcgovqm5yy/metadata.json
IPFS of structure file: 
bafybeie235xnq4xqzjfefycxtveddz6iryxcevkucaeii5nlyslcdrzjnu/AF-Q0AHH6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x725C00D6BECAAdFa5C549918247063dBD4b20d2C
First NFT owner address (bech32): 
genesis1wfwqp447e2kl5hz5nyvzgurrm02tyrfv82x45y
Current NFT ID #102663 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
102663
Accession (UniProt):
Q0AHH6
Name::
DNA ligase
Experimental Method:
Predicted structure
Sequence source:
Nitrosomonas eutropha (strain DSM 101675 / C91 / Nm57)

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 Q0AHH6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0AHH6|DNLJ_NITEC DNA ligase OS=Nitrosomonas eutropha (strain DSM 101675 / C91 / Nm57) OX=335283 GN=ligA PE=3 SV=2 MESEKIIEERLKALRSTIALHDFHYYVQDAPIIPDADYDKLFRTLQQLEQQYPHLITPDSPTQRVGAPPLKVFARLTHQTPMLSLTNAFTEDEAIAFDKRIREALNVDQVNYAVEPKFDGLAVSLVYTNGILTNGATRGDGYTGEDITLNLRTIPSIPLRLQTATVTDQFEVRGEVVMLKADFEHLNEQQRNKGEKLFANPRNAAAGSLRQLDSNITAARKLTFFAYDAVLSHKDQPFFSKHSEILDYLKSQQFLVAQQNGTTTGVAGLLTYYHEMGALRLSLPYEIDGVVYKVDNLTQQETLGYVSRAPRFAIAHKFPAQEASTELLTIEIQVGRTGALTPVARLAPVFVGGVTVTNATLHNEDEVQRKQIMIGDTVIVRRAGDVIPEVVAVIPEQRPAHAQPFIMPDHCPVCGSKAARLPGEAVTRCTGGLYCPAQRKQAIWHFASRRALDIDGLGEKLIDQLIDRELVHTPADLYKLNIDTLASLERMAEKSARNLVTAIEHSKKTTLPRFIYALGIRHVGEATAKALANQASHLDQLMTLDIEQLQQIPDVGPIVAQSIIDFFSEAHNREVIRQLLDSGLQWEIPNHGVQQSEQTNSAVSGKTFVLTGTLPTMTRDQAKIKIEQQGGKVTGSVSSATSYVVAGSDPGSKYAKAIGLGISVLDEDQLLSLLQNISTGAQQ