Q65GL2 AF NFT

dTTP/UTP pyrophosphatase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib3uweu2v3we5nvx3b2uajmy6luuzzp5aizzlxi5r7wamtxtkmk7m/metadata.json
IPFS of structure file: 
bafybeihxoym6w7akamflcrivrlf3pzdy5rqehdn5qv2c6lpdtppnfqrvzm/AF-Q65GL2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd10960F956646DE8b64d3598984c91C2d5Af3D7b
First NFT owner address (bech32): 
genesis16yykp72kv3k73djdxkvfsny3ct2670tm7h5hjv
Current NFT ID #271055 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
271055
Accession (UniProt):
Q65GL2
Name::
dTTP/UTP pyrophosphatase
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 Q65GL2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65GL2|NTPPA_BACLD dTTP/UTP pyrophosphatase 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=maf PE=3 SV=1 MTRQLILASQSPRRKELLDLLQIPYSIVTSNAEEKLIRNFSPAENVKWLAEQKVRAVAEQYPDAVVLGADTIVYYDGAYLGKPKDAEDAERMLSMLSGQTHSVLTGVCIKDGERCETFFEETEVSFWPLEEKEISAYIATGEPFDKAGSYGIQGKGALFVKQIKGDYYTVVGLPISKTMRMLKTFDLHSF