Q0WJC2 AF NFT

L-alanine exporter AlaE

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihhpb5wzq4bso4p75pizgvq4vxrpe77ltgntjiduzol4hh3llxz4y/metadata.json
IPFS of structure file: 
bafybeidxq6kkahn2z335ojxz6npwb6mdvuhlhybhkbvklnqm4u62amhtey/AF-Q0WJC2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xEbf4d45776C392B0bE6c7338e714387D7664f38C
First NFT owner address (bech32): 
genesis1a06dg4mkcwftp0nvwvuww9pc04mxfuuvhxs22y
Current NFT ID #12954 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
12954
Accession (UniProt):
Q0WJC2
Name::
L-alanine exporter AlaE
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 Q0WJC2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0WJC2|ALAE_YERPE L-alanine exporter AlaE OS=Yersinia pestis OX=632 GN=alaE PE=3 SV=1 MTMFSTGPRWRSAVADTFALVVYCFVIGMAIEVVISGMTFRQSLSSRLLSIPVNILIAWPYGMYRDAFIRFAQRHAGQRFWARNLADLLAYVSFQSPVYAMILWSVGADFEQMISAVASNAVVSMVMGVAYGYFLEYCRRLFRVAGYV