Q4A070 AF NFT

Sodium/proline symporter 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihpbxftc2r2omaskwdknglwmuhef5igqfw6ewme336rb5bigzv3vi/metadata.json
IPFS of structure file: 
bafybeihovaavxuwwiqq44q4idhblqout54hiwsxt5k53j5pe4vc33mngym/AF-Q4A070-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf8D5B1BD340FcF603A2a7d91f06AE411632c4809
First NFT owner address (bech32): 
genesis1lr2mr0f5pl8kqw320kglq6hyz93jcjqfzz068a
Current NFT ID #324074 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
324074
Accession (UniProt):
Q4A070
Name::
Sodium/proline symporter 1
Experimental Method:
Predicted structure
Sequence source:
Staphylococcus saprophyticus subsp. saprophyticus (strain ATCC 15305 / DSM 20229 / NCIMB 8711 / NCTC 7292 / S-41)

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 Q4A070 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4A070|PUTP1_STAS1 Sodium/proline symporter 1 OS=Staphylococcus saprophyticus subsp. saprophyticus (strain ATCC 15305 / DSM 20229 / NCIMB 8711 / NCTC 7292 / S-41) OX=342451 GN=putP1 PE=3 SV=1 MFTLGTSLSSQVDPNWQTYIMLVVYFVVLLVIGYYGFKQSTGNVSEYMLGGRNIGPYVTALSAGASDMSGWMIMGLPGEVYTTGLSAAWLAIGLTLGAYINYIVVAPRLRVYTEKAGDAITLPDFFKNRLDDKSNSIKIISGAIIVVFFTLYTHSGMVSGGVLFESAFGVNYHIGMLLVAVIVIAYTFFGGYLAVSLTDFFQGVVMIIAMVMVPIVAMLQLSGLDTFTQTAELKPTNLDLFKGTTVIGIISFFAWGLGYFGQPHIIVRFMSIKSVKQLPTARRFGIGWMAISLLGAVGVGLTGITFINQSGTDIENPETLFVLMGQILFHPLVGGFLLAAILAAIMSTISSQLLVTSSSLTEDFYKLIRGEEAAKEHEKEFVLVGRLSVIIVAIVSIWIAWSPNDTILGLVGNAWAGFGAAFGPLVLLSLYWKGLSRTGAVSGMLSGAIVVIIWIAFVKPLGDVNDFFNLYEIIPGFLTSLIVTVVVSKFTKKPQIDVEADLTDVRRLVKTGED