Q87RJ4 AF NFT

DNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieowxtuarafgwrhr44hhlucb4dxbesebcsgixqdvmgs4obsdhlijy/metadata.json
IPFS of structure file: 
bafybeidyeb5fwgffdpcrmrrfiiheeixvwm2wvsn5aveczniurmgppee4j4/AF-Q87RJ4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x708Be804EC6317905F657c78f218dc0c20dF9ce3
First NFT owner address (bech32): 
genesis1wz97sp8vvvteqhm903u0yxxupssdl88r2afdqs
Current NFT ID #102957 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
102957
Accession (UniProt):
Q87RJ4
Name::
DNA ligase
Experimental Method:
Predicted structure
Sequence source:
VIBRIO PARAHAEMOLYTICUS SEROTYPE O3:K6 (STRAIN RIMD 2210633)

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 Q87RJ4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q87RJ4|DNLJ_VIBPA DNA ligase OS=Vibrio parahaemolyticus serotype O3:K6 (strain RIMD 2210633) OX=223926 GN=ligA PE=3 SV=1 MSESVHQRLEELKESLHYHAVRYYVEDNPEIPDAEYDRLMRELLEIEAQHPDLVTVDSPSQRVGGKPLSEFSQVTHEVPMLSLDNAFDDSELDSFHKRAQDRIGGESIKQYCCEPKLDGLAVSLLYENGILVQAATRGDGTTGENITENVRTINAIPLKLRGDDWPARLEVRGEVFMPKAGFEKLNELARQKGEKVFVNPRNAAAGSLRQLDSRITASRPLSFYAYSVGVVQGADLAASHYERFLQIKSWGLPMCPETKRVDSLADVKTYYQHILQRRDALPYEIDGVVIKIDDIAVQERLGFVARAPRWAIAYKFPAQEEITTLNEVEFQVGRTGAITPVAKLEPVFVGGVTVSNATLHNADEIERLQVKIGDQVVIRRAGDVIPQVVSVIKERRPETARDIIFPTQCPVCGSHVERIEGEAVTRCTGGLVCQAQRKQALKHFVSRKALDVDGLGDKVIEQLVDREMVETPADLFKLSAGVLTVLERMGPKSAQNIVNALEKSKLTTLPRFLYSLGIREVGEATAANLAQHFKSLEAIQAATEEQLIAVQDIGVVVAKHITTFFEEEQNQAVVQDLLVQGIHWPEVSAPEQGAELPLEGKTVVLTGTLSQLGRTEAKEALQSLGAKVTGSVSKKTDILFAGENAGSKLAKAQELGIEIKTEQDLLELIN