Q32C91 RNA pyrophosphohydrolase MolNFT, Molecular NFT on GenesisL1

RNA pyrophosphohydrolase

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeiekihnhf5cqk76rzgdcuegve2jj2oinpmn2cfpgtdtn237b3cx7im/metadata.json

IPFS of structure file:

bafybeidsltisi4q77t6eybo2b2nob77lpbfaqz5kif2mohkz5s5rw57eee/AF-Q32C91-F1-model_v2.pdb

First NFT owner address (eip-55):

0x6f7d7ecD2D5477c07662463b2369E9953067f93b

First NFT owner address (bech32):

genesis1da7hanfd23muqanzgcajx60fj5cx07fmu9ruw7

Current NFT ID #390069 owner (web3):

0x98e22253e31B07cB0618d7388D8e56673A1A11dF

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
390069
Accession (UniProt):
Q32C91
Name::
RNA pyrophosphohydrolase
Experimental Method:
Predicted structure
Sequence source:
Shigella dysenteriae serotype 1 (strain Sd197)

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 Q32C91 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q32C91|RPPH_SHIDS RNA pyrophosphohydrolase OS=Shigella dysenteriae serotype 1 (strain Sd197) OX=300267 GN=rppH PE=3 SV=1 MIDDDGYRPNVGIVICNRQGQVMWARRFGQHSWQFPQGGINPGESAEQAMYRELFEEVGLSRKDVRILASTRNWLRYKLPKRLVRWDTKPVCIGQKQKWFLLQLVSGDAEINMQTSSTPEFDGWRWVSYWYPVRQVVSFKRDVYRRVMKEFASVVMSLQENTPKPQNASAYRRKRG

Q32C91 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q32C91 research and analysis (ICN3D with VR)

FASTA sequences

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