A9R2H5 AF NFT

UPF0370 protein YpAngola_A3139

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiesh64fdm5w2wfb6a7brk5vz5nyct52w3cnow2uu2vv7iwqlxl5rq/metadata.json
IPFS of structure file: 
bafybeicboogcmhq3ekpe3deu2w76jvhsuwko52pt6wrx6gc7ysvbq6gnby/AF-A9R2H5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x836d97bfE95909D1F0f696DC2319364607dcbE8E
First NFT owner address (bech32): 
genesis1sdke00lftyyaru8kjmwzxxfkgcrae05wgtpsna
Current NFT ID #514623 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
514623
Accession (UniProt):
A9R2H5
Name::
UPF0370 protein YpAngola_A3139
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 A9R2H5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9R2H5|Y3139_YERPG UPF0370 protein YpAngola_A3139 OS=Yersinia pestis bv. Antiqua (strain Angola) OX=349746 GN=YpAngola_A3139 PE=3 SV=1 MQWLADYWWIILILLVGMILNGIKELRRLDHKRFLDNKPELPPHRDNNAQWDDEDDWPDQNKKK