A9R5C3 AF NFT

UPF0213 protein YpAngola_A4013

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifphvybw5upzyla3g26ocrwp7wu6s5izc4ne7uxvltqdpd5jyqix4/metadata.json
IPFS of structure file: 
bafybeigyoplyj5y2gadlk5wpo7kfhm7dll2largurx5efmqkw4khvunltq/AF-A9R5C3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4C5d1f42C76C21E948aC0026486f134eF645C76B
First NFT owner address (bech32): 
genesis1f3w37sk8dss7jj9vqqnysmcnfmmyt3mt24awdd
Current NFT ID #516799 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
516799
Accession (UniProt):
A9R5C3
Name::
UPF0213 protein YpAngola_A4013
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 A9R5C3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9R5C3|Y4013_YERPG UPF0213 protein YpAngola_A4013 OS=Yersinia pestis bv. Antiqua (strain Angola) OX=349746 GN=YpAngola_A4013 PE=3 SV=1 MSDSLWHLYLLRTASGMLYTGITTDVARRLAQHQAGKGAKALRGKGELTLVFHCEAGDRSTALKLEYRVKQLSKQQKEKLVIDQPRLLTTLFLDS