Q1CAS2 AF NFT

RNA pyrophosphohydrolase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid2kbwsdzgfoaezkbwxgs7g4jc4c2oaabmz54poo7rqyaapzltijy/metadata.json
IPFS of structure file: 
bafybeihcl6n2rhdtwz5mx2zgg4n7jihqgy475tgn7pxyvczwye4mgwgc5m/AF-Q1CAS2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x527Fc9Ea796aC165D96B0eDa7256bB7d212B69Df
First NFT owner address (bech32): 
genesis12flun6nedtqktkttpmd8y44m05sjk6wl0g7e56
Current NFT ID #390107 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
390107
Accession (UniProt):
Q1CAS2
Name::
RNA pyrophosphohydrolase
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Antiqua)

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 Q1CAS2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1CAS2|RPPH_YERPA RNA pyrophosphohydrolase OS=Yersinia pestis bv. Antiqua (strain Antiqua) OX=360102 GN=rppH PE=3 SV=1 MIDDDGYRPNVGIVICNRQGEVLWARRYGQHSWQFPQGGINPGETPEQAMYRELFEEVGLNKKDVRILASTRNWLRYKLPKRLVRWDTKPVCIGQKQRWFLLQLMCNEAEINMQRSSTPEFDGWRWVSYWYPVRQVVSFKRDVYRRVMKEFAATVMPVQEVAPPRVPPAYRRKRG