Q63FD4 AF NFT

Putative 3-methyladenine DNA glycosylase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaumes2x6et75a7ammy6z2iyzrb4inft5x2zbqu6nrcot43v647hu/metadata.json
IPFS of structure file: 
bafybeiavhgqvxgw2w6zwayynaeagmrw3wzq3cvg6dq6f3icloqxm5ltjaq/AF-Q63FD4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7FDF8b382C6a36A8772D1A265E8e480c7DF0A9C1
First NFT owner address (bech32): 
genesis10l0ckwpvdgm2saedrgn9arjgp37lp2wpyzq5qn
Current NFT ID #784 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
784
Accession (UniProt):
Q63FD4
Name::
Putative 3-methyladenine DNA glycosylase
Experimental Method:
Predicted structure
Sequence source:
BACILLUS CEREUS (STRAIN ZK / E33L)

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 Q63FD4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q63FD4|3MGH_BACCZ Putative 3-methyladenine DNA glycosylase OS=Bacillus cereus (strain ZK / E33L) OX=288681 GN=BCE33L0774 PE=3 SV=1 MQAPPSFYEGDTLEVAKKLLGQKLVHIVDGIKRSGIIVEVEAYKGPDDKAAHSYGGRRTDRTEVMFGAPGHAYVYLIYGMYHCFNVITAPVGTPQGVLIRALEPVDGIEEIKLARYNKTDITKAQYKNLTNGPGKLCRALGITLEERGVSLQSDTLHIELVPEEEHISSQYKITAGPRINIDYAEEAVHYPWRFYYEGHPFVSKK