Q4JVI8 AF NFT

UvrABC system protein C

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiewebdqmmmkkb2ohkktlxnorumzrmsnozsyqyuwqhaiojwvehr6vq/metadata.json
IPFS of structure file: 
bafybeifdjso4q4tjeigitofizsp3qif27jj4qci3bv5ykqniypmcjbt7k4/AF-Q4JVI8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x78490a109Cb9CB41e44307c4DA6e92eD2f2cEa94
First NFT owner address (bech32): 
genesis10pys5yyuh895rezrqlzd5m5ja5hje655rrxe9j
Current NFT ID #493706 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
493706
Accession (UniProt):
Q4JVI8
Name::
UvrABC system protein C
Experimental Method:
Predicted structure
Sequence source:
Corynebacterium jeikeium (strain K411)

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 Q4JVI8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4JVI8|UVRC_CORJK UvrABC system protein C OS=Corynebacterium jeikeium (strain K411) OX=306537 GN=uvrC PE=3 SV=1 MTSVSYRPEPGSIPTDPGVYTFRDAHERVIYVGKAKNLRARLSNYFQDLDQLHPRTRAMVQSANHVQWTVVSSELEALNLEYTWIKRFNPRFNVMYRDDKTYPMLAISVKEQIPRAFMYRGPRRKGVRYFGPYPKAWAIRETLESLTRVFPIRTCSAGVYRRHEALGRPCLLGYIDRCSAPCVGKITPEDHRALVDQFSSFLAGNTEPVLRRVRKEMEQASENLDFERAASLRDQLQAMQKSMERQAVVFSDNTDADLIAFVADELEAAVQIFHVRGGRIHGQRGWVVEREDLSEEKLVADFITQFYGETAELAKATETQVGGASGPEVDRDLARAINPAAAQDLGDLVGDVQVTPVPREILVHAMPDDADDLAAWLTSLRGSNMQIRVPQRGDKKALMTTAETNATQALAQHKLKRAGDITARSAALKELQEALWMDESPLRIECTDISHIQGTDVVASLVVFEDGLPKKADYRRYKIRDAAGDGHSDDVASIAEVVRRRFKRYQQDKSAVPAGDDAGDLLEGETELEDNSAEGTDPATEKRKFAYPPQLFIVDGGLPQVNAAQEVLDELGVNDVTLVGIAKRLEEIWVPGEEYPIIVPRNSPALYLVQNLRDEAHRFAITFHRQQRSARMRRSKLDDIPGLGPKRRKQLVKEFGSVARVKEASVEDIAALPGFGPKLAQLIHDALNAE