Q65DF9 AF NFT

Putative 3-methyladenine DNA glycosylase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifo7bmo75eousa6clk5nlvnk4drqkosovxydxuduwlo6v7a4kt4ei/metadata.json
IPFS of structure file: 
bafybeidw7zkxuw7a7p5xaj6wvqhhnvzgt5qlxmmvvikugmk3dg3zajt3ni/AF-Q65DF9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x35612D34a32C306CA4fc1edA9360D1F717e25950
First NFT owner address (bech32): 
genesis1x4sj6d9r9scxef8urmdfxcx37ut7yk2swrdlap
Current NFT ID #786 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
786
Accession (UniProt):
Q65DF9
Name::
Putative 3-methyladenine 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 Q65DF9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65DF9|3MGH_BACLD Putative 3-methyladenine 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=BLi04092 PE=3 SV=1 MNPAHEPLPLEFYNKPTIELARSLLGCLLVKETEEGPASGYIVETEAYKGPGDRAAHSYGNRRTKRTEIMYREAGVVYTYTMHTHTLINVVSGGADEPEAVLIRALEPHEGLALMEKRRSGKKPRDWTNGPGKLTKALSITMNDYGRPLTGPPLYIAKGYEPQDILSGPRIGIDNSGEAREYPWRFWIKGNRYVSR