A9R053 AF NFT

UPF0391 membrane protein YpAngola_A0835

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic4cc7x6wgmtgg4py5cej56yotxr7ic6itfmwmut3exsrix5jmcb4/metadata.json
IPFS of structure file: 
bafybeibmepkb75jaiuyffrxkkkadg4ag6wxfyybwl2hjzfhdsdymjm2eje/AF-A9R053-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7012c0b45c68a2c067644b9d3e5DDa06892c6957
First NFT owner address (bech32): 
genesis1wqfvpdzudz3vqemyfwwnuhw6q6yjc62hg2ks0z
Current NFT ID #522093 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
522093
Accession (UniProt):
A9R053
Name::
UPF0391 membrane protein YpAngola_A0835
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 A9R053 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9R053|Y835_YERPG UPF0391 membrane protein YpAngola_A0835 OS=Yersinia pestis bv. Antiqua (strain Angola) OX=349746 GN=YpAngola_A0835 PE=3 SV=1 MFRWGIIFLIIALIEAALGFGGLAGTAAWAAKVVFVVGIILFLISLFTGRKRL