A9R3Y6 AF NFT

Uracil-DNA glycosylase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiedoh7rc4r2kq2zvjb6jlfvkhujppquprs4zugpkmmahpvazpkuki/metadata.json
IPFS of structure file: 
bafybeiebqo35mbcutxdwamicr4hzaq3adzprpkyr5n7rnhvzmbprktob4e/AF-A9R3Y6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xadb39D07D2A55093085fD524c504c34Fc55E839E
First NFT owner address (bech32): 
genesis14kee6p7j54gfxzzl65jv2pxrflz4aqu7xntetc
Current NFT ID #489038 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
489038
Accession (UniProt):
A9R3Y6
Name::
Uracil-DNA glycosylase
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Angola)

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 A9R3Y6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9R3Y6|UNG_YERPG Uracil-DNA glycosylase OS=Yersinia pestis bv. Antiqua (strain Angola) OX=349746 GN=ung PE=3 SV=1 MSPSLTWHDVIGQEKEQPYFKDTLAYVAAERRAGKTIYPPQKDIFNAFRLTELDQVKVVILGQDPYHGPNQAHGLSFSVLPGVPAPPSLGNIYKELVTDIPGFQRPNHGFLQSWAEQGVLLLNTVLTVEAGKAHSHANLGWETFTDKVIAALNEHREGVIFMLWGSHAQKKGRIINTERHYILKAPHPSPLSAHRGFLGCKHFSQANQLLQQQNQQPIDWQPKLPAVE