Q044H9 AF NFT

Exodeoxyribonuclease 7 large subunit

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifgyefc6ljq4ulir2i2zkfktg6p4hyl4jsuikearpnklwjtf4rnlu/metadata.json
IPFS of structure file: 
bafybeieuzcxqr7xqxppukcyr4yoqjpk7lcq7v4ucfapbmooaff2m4zoioy/AF-Q044H9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2A70886e2AB13F20e22Df99DEc0896F1AC056Af4
First NFT owner address (bech32): 
genesis19fcgsm32kyljpc3dlxw7czyk7xkq26h5s6gxr7
Current NFT ID #121603 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
121603
Accession (UniProt):
Q044H9
Name::
Exodeoxyribonuclease 7 large subunit
Experimental Method:
Predicted structure
Sequence source:
Lactobacillus gasseri (strain ATCC 33323 / DSM 20243 / BCRC 14619 / CIP 102991 / JCM 1131 / KCTC 3163 / NCIMB 11718 / NCTC 13722 / AM63)

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 Q044H9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q044H9|EX7L_LACGA Exodeoxyribonuclease 7 large subunit OS=Lactobacillus gasseri (strain ATCC 33323 / DSM 20243 / BCRC 14619 / CIP 102991 / JCM 1131 / KCTC 3163 / NCIMB 11718 / NCTC 13722 / AM63) OX=324831 GN=xseA PE=3 SV=1 MADNPVYLSVSDLNFYISQKFKNDPYLHKVFLQGELSNFRFRMHSHQYFSLKDDKSKINVVMFRSFFEKLKFKPEEGMKVYVSGYVDVYGPQGSYQFYAQTMEPAGLGALYEQLRQLQEKLAKEGLFNEDHKKRLPLFPDRIAVVTSASGAVIHDIMVTANRRFPHAEIDLYPAKVQGDEAADTIVASLKQIQAQGDKYDVVIIGRGGGSLEDLWPFNEEKVVRQIYAMQMPVISSVGHETDTTLADLVADARAATPTAAAEYATPNLADVLTKIVQLRARLYAAMQANIRAKRQILDRLRKAPVLQEPTRIYDQQIQQVDMLSHRLNQAISNQLQHDRSSVRLLQERLKALNPGRRLEQLERERTFIVANLFSTMTAYLKDQRNKLNRTMQQLDDISPLKTIGRGYVYTTDQEGNTVTSVDKLEIDEKLKLHFKDGQVQVNVENIRREKDGNQEK