A6X1G2 AF NFT

Deoxyguanosinetriphosphate triphosphohydrolase-like protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibxfrn4trtc6etvtt3uelfaqcpcbyyauptksqq3zxkzl5ilmk4oya/metadata.json
IPFS of structure file: 
bafybeicuakpimrge4aythgu3xxy4a52hhan4ed2zxgzlyah6zqdx74kejm/AF-A6X1G2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5E4a97581a44b145B2A026eA8a40C76B6732e29D
First NFT owner address (bech32): 
genesis1te9fwkq6gjc5tv4qym4g5sx8ddnn9c5at9q736
Current NFT ID #96973 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
96973
Accession (UniProt):
A6X1G2
Name::
Deoxyguanosinetriphosphate triphosphohydrolase-like protein
Experimental Method:
Predicted structure
Sequence source:
Brucella anthropi (strain ATCC 49188 / DSM 6882 / CCUG 24695 / JCM 21032 / LMG 3331 / NBRC 15819 / NCTC 12168 / Alc 37)

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 A6X1G2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A6X1G2|DGTL1_BRUA4 Deoxyguanosinetriphosphate triphosphohydrolase-like protein OS=Brucella anthropi (strain ATCC 49188 / DSM 6882 / CCUG 24695 / JCM 21032 / LMG 3331 / NBRC 15819 / NCTC 12168 / Alc 37) OX=439375 GN=Oant_2352 PE=3 SV=1 MSLEGIGFGYRERAPYACDPARSRGRLVPEPESPTRTPFQRDRDRIIHSTAFRRLKHKTQVFIAHEGDHYRTRLTHTIEVAQIARALARALRLDEDLAEAVALVHDFGHTPFGHTGEEALNDRMKAFGGFDHNAQSLRIVTKLEHRYADFDGLNLSWETLEGLVKHNGPLLGAHAAHPDAAVPLPILDFNERYDLELTRFASLEAQCAAIADDIAYNAHDIDDGLRAGLLSLDALDEVPLTKRLLDLVRTRYPDLDPVRTGHELVRRQITIMVEDVIEEAQRRLAAAKPQSVEDVHGQSHALVAFSDTMRTDEKVLKRFLFKNLYFHDSVVVRRHAADKILQDLFDTCFANPSIMPSEWQSGCETLDEAARARRVADYLAGMTDNYAVREHRRLFDHTPDLA