Q65DN9 AF NFT

Uracil-DNA glycosylase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieoukgvh3llcgetap5nbbokbw2k4ivreewsckroirpvooj447feay/metadata.json
IPFS of structure file: 
bafybeichssaqrgtfp6smg3xivn2dth6txighxqldjs5wcdgsf36o5pxgre/AF-Q65DN9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x477d4b69908956afCebfE8CC0A108d7C987af145
First NFT owner address (bech32): 
genesis1ga75k6vs39t2ln4larxq5yyd0jv84u29zvym3n
Current NFT ID #488709 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
488709
Accession (UniProt):
Q65DN9
Name::
Uracil-DNA glycosylase
Experimental Method:
Predicted structure
Sequence source:
Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46)

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 Q65DN9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65DN9|UNG_BACLD Uracil-DNA glycosylase OS=Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46) OX=279010 GN=ung PE=3 SV=1 MKQILNDSWWQQLKDEFDKPYYQELREMLKREYAEHTVYPEPNDIYNALHYTSYENVKVVILGQDPYHGPGQAHGLSFSVQPGVNPPPSLKNIFIELQNDIGADIPNHGSLVSWAKQGVLLLNTVLTVRRGQANSHKGKGWEQLTDSIIDVLNKRDKPVVFILWGRHAQMKKERIDTSKHFIIQSPHPSPFSARNGFFGSRPFSRANQYLEQIGDEPIDWSLPNL