A9R654 AF NFT

UPF0761 membrane protein YpAngola_A0034

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid44iwufziespnyxvonufhn3yy3vcknkwjme6vcdvjctys45vewva/metadata.json
IPFS of structure file: 
bafybeigpabzem3a35diilhytc6csf4s7lj27i4l3fxvow7i3zln4gltrmy/AF-A9R654-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x99acF883b8a18b6EaBCF84E03BE8cE27Cb516686
First NFT owner address (bech32): 
genesis1nxk03qac5x9ka270snsrh6xwyl94ze5x8c8js9
Current NFT ID #502934 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
502934
Accession (UniProt):
A9R654
Name::
UPF0761 membrane protein YpAngola_A0034
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Angola)

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 A9R654 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9R654|Y034_YERPG UPF0761 membrane protein YpAngola_A0034 OS=Yersinia pestis bv. Antiqua (strain Angola) OX=349746 GN=YpAngola_A0034 PE=3 SV=1 MASFRRFRLLSPLKPCVTFGRMLYTRIDKDGLTMLAGHLAYVSLLSLVPLITVIFALFAAFPMFAEISIKLKAFIFANFMPATGDIIQNYLEQFVANSNRMTVVGTCGLIVTALLLIYSVDSVLNIIWRSKIQRSLVFSFAVYWMVLTLGPILVGASMVISSYLLSLHWLAHARVDSMIDEILRVFPLLISWVSFWLLYSVVPTVRVPARDALIGALVAALLFELGKKGFAMYITLFPSYQLIYGVLAVIPILFLWVYWSWCIVLLGAEITVTLGEYRAERHHAKSVTTQSPEM