Q81IX5 AF NFT

Putative sugar uptake protein BC_0219

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiehtwfwu3e4p3kmk6ggdhuutspavqejbfkyur7yq6nxkwu3xurpue/metadata.json
IPFS of structure file: 
bafybeiafy7zuf45cuu2ci43xrnmaxyakxmxhqgbzbahmaj4miahyomxghe/AF-Q81IX5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbf7aa094509dBFC080EfED6A5C99EdA11E607625
First NFT owner address (bech32): 
genesis1haa2p9zsnklupq80a449ex0d5y0xqa397wdrrn
Current NFT ID #511347 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
511347
Accession (UniProt):
Q81IX5
Name::
Putative sugar uptake protein BC_0219
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain ATCC 14579 / DSM 31 / CCUG 7414 / JCM 2152 / NBRC 15305 / NCIMB 9373 / NCTC 2599 / NRRL B-3711)

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 Q81IX5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q81IX5|Y219_BACCR Putative sugar uptake protein BC_0219 OS=Bacillus cereus (strain ATCC 14579 / DSM 31 / CCUG 7414 / JCM 2152 / NBRC 15305 / NCIMB 9373 / NCTC 2599 / NRRL B-3711) OX=226900 GN=BC_0219 PE=3 SV=1 MDILLALLPAIAWGNILLVSVKMGGGAYSQTVGMTIGALFFATIMYVFTQPALTMTILIVGFISGLFWALGQVNQLKTVEKLGVSTTVTISTGMQLVATSIFGVIAFREWTTTTTIILGTIAILLIVVGVVFTSLDDKENAQPPGQLKKGLLTLIVSTFGYLVYVIIIRWYNIDGWSAILPQAVGMFVGAVVLTSKHKPFNKYAIRNALSGLLWGTGNLFLLLSLPRVGVATSFPLSQTGIVISTFGAIVFLGEKKTKRQLIFIALGSVLIIGGAVLLGMTKA