Q7CGZ2 AF NFT

Lysophospholipid transporter LplT

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiejdc5c7ivrfrqzm2r6x4idxvre5qrh3szuma73ifaero4vygbufa/metadata.json
IPFS of structure file: 
bafybeiglmrqd7ajr2zujeubi5kfg5gjjamyl6yei2p4ntqc3ux7s4qqzga/AF-Q7CGZ2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2060CE27f80b40356E090723Cf782004028faaeB
First NFT owner address (bech32): 
genesis1ypsvuflcpdqr2msfqu3u77pqqspgl2htmnw0wa
Current NFT ID #217260 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
217260
Accession (UniProt):
Q7CGZ2
Name::
Lysophospholipid transporter LplT
Experimental Method:
Predicted structure
Sequence source:
YERSINIA PESTIS

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 Q7CGZ2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7CGZ2|LPLT_YERPE Lysophospholipid transporter LplT OS=Yersinia pestis OX=632 GN=lplT PE=3 SV=1 MSQDVLADKPLLSRSMVAVLCAQFFSAFGDNALLFATLALIKQQLYPDWSQPILQMAFVATYIVLAPFVGQIADGFAKGRVMMVANGLKLAGALVICFGLNPFLGYSLVGVGAAAYSPAKYGILGEITSGEQLVKANGMMEASTIAAILLGSVAGGILADWHLMAALGVCALVYAIAVIANLFIPRLAAARSGASWRPRAMTGSFFTACRLLWQDSETRFSLAGTSLFWGAGVTLRFLLVLWVPVALGIADNATPTLLNAMVAIGIVVGAGAAARFVTLKTVKRCLPAGVLIGVMVTIFSLQNSMPMAYLLLIIIGILGGFFVVPLNALLQERGKHSVGAGNAIAVQNLGENTAMLFMLGLYSLVVKLGAPVVAVGVGFGVVFALAIALLWGWQWRQQRQKTRQPE