Q04B12 AF NFT

UvrABC system protein C

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicydvotm2hfpj7oghcpeqhhwvmpaq6r3ow3jtpwmysfbhg2twkhju/metadata.json
IPFS of structure file: 
bafybeidwuph65yml4twxwar5wbirdtulomed6imt4cy6cjs3ynuwfdk6ga/AF-Q04B12-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA9E784B624D9b03071F1a8dB9b84234705aa612e
First NFT owner address (bech32): 
genesis148ncfd3ymxcrqu034rdehpprguz65cfw67whj8
Current NFT ID #493815 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
493815
Accession (UniProt):
Q04B12
Name::
UvrABC system protein C
Experimental Method:
Predicted structure
Sequence source:
Lactobacillus delbrueckii subsp. bulgaricus (strain ATCC BAA-365 / Lb-18)

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 Q04B12 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q04B12|UVRC_LACDB UvrABC system protein C OS=Lactobacillus delbrueckii subsp. bulgaricus (strain ATCC BAA-365 / Lb-18) OX=321956 GN=uvrC PE=3 SV=1 MASQLIENKLKLLPEKAGCYLMKDVNGKVIYVGKSKNLKNRVRSYFKSSQEGRRAELVKNIADYDIIVVDSDKEAFLLEVTLIKKYQPYYNVALKSGTGYPYIEITNEKNPQTRLTSIVYKDKGYYFGPYPNVYAASATLKFIQKVFPLRRCSGYTGRPCLYYHMGQCLGSCFKEVPQSEYDEQIKKIKRFLNGDIQEVKKDLTNKMLQASADLEFERAGELRDQLKYIEETVEKQKIISNDHTQRDIFNYYVDRSWISIQVFFLRQAKLLRRESHMFPLTDETDPEDEFMSFIAQFYAQKNRVNPREVLVPKGIDQDELAAAIGIKVRTPQRGQKASLMEMARENAQLKLDDKFRLLELGQRKTKGAQEEIFKALGLPYGSYIESFDHSHIQGADPVSALVVFKDGEPFKTGYRKFKLKGEVEHQNSADEVGNTREVVRRRYSRLLKEHERMPDLILMDGGQIQVEACEDVLRNELNLDIPVAGMVKDDKHRTNHLLYGDPFKGQPFKLIPMDPKSEGFYLMTRIQDEVHRFAITFHRQTHAKNSLVSRLDSIKGIGPKSRTKLLREFGSLKKIKEASIDDLRKAGLTLTQAQAVKISL