B7J0Y9 AF NFT

Uracil-DNA glycosylase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidbkpfo4dtlq2e25jnzlf4nlnz25n7q5nv25j754pe65pji7n5xxi/metadata.json
IPFS of structure file: 
bafybeial334hfso6kqqslbaxshbhq7bd2gimd6bpcwi27rq5l7q43egy4y/AF-B7J0Y9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd92eb9B6Bd45d2c5FBB3651b469A6CA52af64a1D
First NFT owner address (bech32): 
genesis1myhtnd4aghfvt7anv5d5dxnv5540vjsap4k3nj
Current NFT ID #488721 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
488721
Accession (UniProt):
B7J0Y9
Name::
Uracil-DNA glycosylase
Experimental Method:
Predicted structure
Sequence source:
Borreliella burgdorferi (strain ZS7)

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 B7J0Y9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7J0Y9|UNG_BORBZ Uracil-DNA glycosylase OS=Borreliella burgdorferi (strain ZS7) OX=445985 GN=ung PE=3 SV=1 MKVKIEESWKEVLNNEFNKEYFKKLVKFIKHEYKTKNGKIFPPPKLIFNAFNSLPFKDIKVVIIGQDPYHGKNQANGLAFSVDSKIKIPPSLQNIFKEIEKSLKIKTIPNGDLKRWAIQGVFLINTILTVEEGKPSSHKAIGWEIFTDEVIKIISKNLKNIVFMLWGNLARSKKGLIDPTKHLILETSHPSPYSANNGFLGSNHFSSALDYLKKHNKNIINFQ