A8GR53 AF NFT

UvrABC system protein B

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicxc5pplouvygngvtbcxy3zmvsimbqlfdo3244idet4wezozoyfoy/metadata.json
IPFS of structure file: 
bafybeifu64xnwshrgfobbt7ik7xkpbc2lnilasumcjs7o4wnxxu6j7kwey/AF-A8GR53-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xDa30399E955a842042B4DfB2a86B9Aff5E5aB0e8
First NFT owner address (bech32): 
genesis1mgcrn854t2zzqs45m7e2s6u6la094v8g8tt54n
Current NFT ID #493438 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
493438
Accession (UniProt):
A8GR53
Name::
UvrABC system protein B
Experimental Method:
Predicted structure
Sequence source:
RICKETTSIA RICKETTSII (STRAIN SHEILA SMITH)

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 A8GR53 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A8GR53|UVRB_RICRS UvrABC system protein B OS=Rickettsia rickettsii (strain Sheila Smith) OX=392021 GN=uvrB PE=3 SV=1 MNNFSIISEYKPAGDQPKAIDEIIAGLSSKKRSQMLLGITGSGKTFTMANIIERTNRPTLIMAHNKTLAAQIYSEMKSLFPKNAVEYFVSYYDYYQPEAYIARTDTFIEKDSSINEQIDLMRHAATRSLLERRDVIVVSSVSCIYGLGSPDLYYQMVVNLEPGQSYLRDQLLNDLINLQYERNDIGFERGCFRVKGDNIDIFPSHYSDKAWRLSFFGNELEYIHEFDPLTGEKLAKLDKAIVFGNSHFVMPQETVNNAISGIEEELQKRLEFLKSQDKPLETQRLNQRTQYDLEMLTETGSCKGVENYSRFFTGRNAGEPPPTLFEYLPEDALLFVDESHVSVPQIRAMYNGDRARKKVLVEHGFRLPSALDNRPLKFEEWDKFRPQTVFVSATPGPFELEETGGTVVELIIRPTGLLDPECIIKPATNQVEDLISEIQTTIAQGFRVLVTTLTKKMAEDLTAYLQELKYKTSYLHSNVHTLERIEILRDLRQGTIDVLVGINLLREGLDIPECGLVAILDADKEGFLRSEVSLIQTIGRAARNSAGRVILYADKMTKSIDKAVSETLRRRQIQQEYNEKHGIIPKTINRAIHALAEFEKIDSKLDKKQAHTLFDNPAKLKTHIDKLKKEMLKAASNLEFEQAVKLRDQLKTLEEAALELS