Q9HIA9 AF NFT

Probable 2-phosphosulfolactate phosphatase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig5supiya7km5vlhmav3ek47sldzangqgw5nlo7ba72vd4irchnqi/metadata.json
IPFS of structure file: 
bafybeiejs4jbqc2fl4cdolue7t2lgjkrcmmw5gy26q2ayovfk3bhzr2kdu/AF-Q9HIA9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa86d02c20e9C08E0A9e5222b2F3C609cd0C0DC53
First NFT owner address (bech32): 
genesis14pks9sswnsywp209yg4j70rqnngvphznlqt2jj
Current NFT ID #72329 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
72329
Accession (UniProt):
Q9HIA9
Name::
Probable 2-phosphosulfolactate phosphatase
Experimental Method:
Predicted structure
Sequence source:
THERMOPLASMA ACIDOPHILUM (STRAIN ATCC 25905 / DSM 1728 / JCM 9062 / NBRC 15155 / AMRC-C165)

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 Q9HIA9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9HIA9|COMB_THEAC Probable 2-phosphosulfolactate phosphatase OS=Thermoplasma acidophilum (strain ATCC 25905 / DSM 1728 / JCM 9062 / NBRC 15155 / AMRC-C165) OX=273075 GN=comB PE=3 SV=1 MIRIGDGRKSDSWAEINVVVDIFRSTTTIPMILFRGAKYILPFRDVRKAIEFKRRNPGTILVGEKYGIKPPYFDYDNSPAEIAEADLSGKVVAFTSTNGTYVLSRIRSGRIIFSSYVNLSATVAMIRSQRDVLILPSNRPIGKAPEDILFANLLKLMAEGHEVDVSEYTRKTEEINRNIIAGVGERDLEFCLRVDHTNIVPEYIDGRIVQSPDSVALTDA