Q73P93 AF NFT

Putative ABC transporter ATP-binding protein TDE_0906

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeielsnridpqozyt26f3h6uwbmn6zdg42buzi63ui3767of2firp5xe/metadata.json
IPFS of structure file: 
bafybeihdynnk7ryc3gtvocvy4lrbkk3cmwfgrgpyyuakkb3gmn222daz2y/AF-Q73P93-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9188600a0FCa2914254C94299b1bd9721Bc4D500
First NFT owner address (bech32): 
genesis1jxyxqzs0eg53gf2vjs5ekx7ewgduf4gquehckf
Current NFT ID #522717 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
522717
Accession (UniProt):
Q73P93
Name::
Putative ABC transporter ATP-binding protein TDE_0906
Experimental Method:
Predicted structure
Sequence source:
Treponema denticola (strain ATCC 35405 / DSM 14222 / CIP 103919 / JCM 8153 / KCTC 15104)

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 Q73P93 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q73P93|Y906_TREDE Putative ABC transporter ATP-binding protein TDE_0906 OS=Treponema denticola (strain ATCC 35405 / DSM 14222 / CIP 103919 / JCM 8153 / KCTC 15104) OX=243275 GN=TDE_0906 PE=3 SV=1 MINLNDVSYKYNDTAAQAIQHISLSVKKGELVVITGKSGCGKTTLFRCVNGLCPRFYEGEITGSLTLNGKVLSSMRICDISNIAASVFQNPESQFFTTDVLSDLVYPCENCGIEKEEIQERLHRVTKLLSLEPLLNRKLSELSGGEKQKIAIASVLMLDTRVVLMDEPSSNLDYQSVELLTQILAQLKSKGYTLLIIEHRLHYLAELCDRLIVMENGSIVREYEKDLLCTIGNDEFHKQGLRGLHLFQNNSNTLITPQRQHTDKRLLTLHDIHFGYRKNTEVLKGIHLSIYPGDKIALIGKNGCGKTTLGKILCGLKKEQSGTVLLDGRSFPARVRSKTAGYVMQNVDFQLFGCSVYDDLLLGNEALPDKENRIQTVLEKLSLSALQEQHPTTLSMGQKQRLVVAASFLQNKRLTIFDEPTSGLDYGSMQNVCALIDSITGKTNASVIITHDYEFILNTCNRAVLLEDGQIKEDFQLNGSMQLEYIFKERL