Q81VJ7 AF NFT

Putative sugar uptake protein BA_0200/GBAA_0200/BAS0200

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiepsdsxlfov6zohjqvf62rdg6vyq3mwipthl236zy732a2kp7muym/metadata.json
IPFS of structure file: 
bafybeiewnx2dx3epgmknt6pgcdnaqpi2kyfb4qnnpmudpzhqn5ekiqimmi/AF-Q81VJ7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xc4AD6f20Bbd648fFae35BAe632C5f48A02B10536
First NFT owner address (bech32): 
genesis1cjkk7g9m6ey0lt34htnr93053gptzpfk7373sy
Current NFT ID #510463 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
510463
Accession (UniProt):
Q81VJ7
Name::
Putative sugar uptake protein BA_0200/GBAA_0200/BAS0200
Experimental Method:
Predicted structure
Sequence source:
BACILLUS ANTHRACIS

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 Q81VJ7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q81VJ7|Y200_BACAN Putative sugar uptake protein BA_0200/GBAA_0200/BAS0200 OS=Bacillus anthracis OX=1392 GN=BA_0200 PE=3 SV=1 MGILLALLPAIAWGNILLVSVKMGGGAYSQTVGMTIGALFFATIMYVFTQPALTMTILIVGFISGLFWALGQVNQLKTVEKLGVSTTVTISTGMQLVATSIFGVIAFREWTTTTTIILGTIAILLIVVGVVFTSLDDKENAQPPGQLKKGLLTLIVSTFGYLVYVIIIRWYNIDGWSAILPQAVGMFVGAVVLTSKHKPFNKYAIRNALSGLLWGTGNLFLLLSLPRVGVATSFPLSQTGIVISTFGAIVFLGEKKTKRQLIFIALGSVLIIGGAVLLGMTKA