A9R2H3 AF NFT

UPF0756 membrane protein YpAngola_A3137

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicuctyqtetdewf3blmbldslyfu3cvwctfdyiqucivdajjyvjhq5my/metadata.json
IPFS of structure file: 
bafybeig5cnncqair6xmpyh55kclw2bizatfu6sgwxsqalznsdy46nkr56q/AF-A9R2H3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x48734255eb40Edf4501F66e3AEeEad0C0c202E64
First NFT owner address (bech32): 
genesis1fpe5y40tgrklg5qlvm36am4dpsxzqtnyttxvlv
Current NFT ID #514620 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
514620
Accession (UniProt):
A9R2H3
Name::
UPF0756 membrane protein YpAngola_A3137
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 A9R2H3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9R2H3|Y3137_YERPG UPF0756 membrane protein YpAngola_A3137 OS=Yersinia pestis bv. Antiqua (strain Angola) OX=349746 GN=YpAngola_A3137 PE=3 SV=1 MAALDPTLLILLALAALGILSHNMTVTLAILILIAIRITPLNSFFPWVEKYGLTIGVLILTIGVMAPIASGKISASEVLHSFVQWKSILAIVVGVAVSWLGGRGVSLMTHQPSVVAGLLVGTVLGVALFKGVPVGPLIAAGLLSLVIGKS