Q5PC58 Purine ribonucleoside efflux pump NepI MolNFT, Molecular NFT on GenesisL1

Purine ribonucleoside efflux pump NepI

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeie2jviwjudesun6oqgx6tovilv5jqgnynw5ldnmhfnptljzg7ahgm/metadata.json

IPFS of structure file:

bafybeicji5q7bypmeszifxgm5bq7bwwr4qb5txcjgziyhu5oxjhpbkluqe/AF-Q5PC58-F1-model_v2.pdb

First NFT owner address (eip-55):

0x934f84D099E5FEaBA89bC58DBEB7366EFF6BF871

First NFT owner address (bech32):

genesis1jd8cf5yeuhl2h2ymckxmadekdmlkh7r3fcyd0m

Current NFT ID #263131 owner (web3):

0x9cB2a82c26C1c5E687c7AB3603b7c6C591B313c6

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
263131
Accession (UniProt):
Q5PC58
Name::
Purine ribonucleoside efflux pump NepI
Experimental Method:
Predicted structure
Sequence source:
SALMONELLA PARATYPHI A (STRAIN ATCC 9150 / SARB42)

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 Q5PC58 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5PC58|NEPI_SALPA Purine ribonucleoside efflux pump NepI OS=Salmonella paratyphi A (strain ATCC 9150 / SARB42) OX=295319 GN=nepI PE=3 SV=1 MNENIAEKFRADGVARPNWSAVFAVAFCVACLITVEFLPVSLLTPMAQDLGISEGVAGQSVTVTAFVAMFSSLFITQIIQATDRRYIVILFAVLLTASCLMVSFANSFTLLLLGRACLGLALGGFWAISASLTMRLVPARTVPKALSVIFGAVSIALVIAAPLGSFLGGIIGWRNVFNAAAVMGVLCVIWVVKSLPSLPGEPSHQKQNMFSLLQRPGVMAGMIAIFMSFAGQFAFFTYIRPVYMNLAGFDVDGLTLVLLSFGIASFVGTSFSSYVLKRSVKLALAGAPLLLALSALTLIVWGSDKTVAAAIAIIWGLAFALVPVGWSTWITRSLADQAEKAGSIQVAVIQLANTCGAAVGGYALDNFGLLSPLALSGGLMLLTALVVAAKVRITPMS

Q5PC58 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q5PC58 research and analysis (ICN3D with VR)

FASTA sequences

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