Q9X4A5 AF NFT

Glycine betaine transporter BetL

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieig6mmi4m4vxltwlkjfklis63b3xwsouemqe5vjfrllv37u6jigm/metadata.json
IPFS of structure file: 
bafybeicht5rqmmx7fzbxlgw5we3eew27tdjyaitmeyzcnymhpc6tjsjx7u/AF-Q9X4A5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xFfdda12F81300c334dA5663cd65680B4a9a77303
First NFT owner address (bech32): 
genesis1llw6ztupxqxrxnd9vc7dv45qkj56wucrcgj4a0
Current NFT ID #42296 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
42296
Accession (UniProt):
Q9X4A5
Name::
Glycine betaine transporter BetL
Experimental Method:
Predicted structure
Sequence source:
LISTERIA MONOCYTOGENES

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 Q9X4A5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9X4A5|BETL_LISMN Glycine betaine transporter BetL OS=Listeria monocytogenes OX=1639 GN=betL PE=1 SV=1 MKKLTNVFWGSGFLVLLAVLFGAFLPEQFETFTNHIQKFLTSNFGWYYLIVVAIIIIFCLFLVLSPIGSIRLGKPGEEPGYSNKSWFAMLFSAGMGIGLVFWGAAEPLSHYAVQAPGGEVGTQAAMKDALRYSFFHWGISAWSIYAIVALALAYFKFRKNAPGLISATLYPILGKHAKGPIGQLIDIIAVFATVIGVATTLGLGAQQINGGLTYLFGVPNNFTVQFTIIVIVTILFMLSAMSGLDKGIQLLSNVNIYVAGVLLVLTLILGPTLFIMNNFTNSFGDYLQNIIQMSFQTAPDAPDARKWIDSWTIFYWAWWLSWSPFVGIFIARISRGRTIRQFLLGVIVLPALVSVFWFAVFGGSAIFVEQHGNSGLSSLATEQVLFGVFNEFPGGMMLSIVAMILIAVFFITSADSATFVLGMQTTGGSLNPPNSVKVTWGLLQAGIASVLLYAGGLTALQNASIIAAFPFSIVIILMIVSLFVSLTREQEKLGLYVRPKKSQRSQL