Q8UGA9 AF NFT

UvrABC system protein C

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieml7ihbbt7f3yxpli2y3jo62v3k2fkgpq5vipyfokmfuzhfthh44/metadata.json
IPFS of structure file: 
bafybeieddfmkz246iosdrocx7kfubplh6oev5i5csd4i33at5sev4ggfrm/AF-Q8UGA9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa73BAb1DabE4333A884D03393eAa10c3B4215494
First NFT owner address (bech32): 
genesis15ua6k8dtusen4zzdqvuna2sscw6zz4y5hahjw0
Current NFT ID #493574 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
493574
Accession (UniProt):
Q8UGA9
Name::
UvrABC system protein C
Experimental Method:
Predicted structure
Sequence source:
AGROBACTERIUM FABRUM (STRAIN C58 / ATCC 33970)

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 Q8UGA9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8UGA9|UVRC_AGRFC UvrABC system protein C OS=Agrobacterium fabrum (strain C58 / ATCC 33970) OX=176299 GN=uvrC PE=3 SV=3 MNGKKLPDGGILFDETDDEDDDANLAATDTAEASRSVAGMDWNAGWKNESGLKGMDLIGEFVKHLPNSPGVYRMFNEAGDVLYVGKARSLKKRVGNYAQGRVHSNRIAQMVRFTTHMEFVTTRTETEALLLEANLIKRLRPRFNVLLRDDKSFPYILITADNRAPAIFKHRGARARKGDYFGPFASAGAVGRTINSLQRAFLIRTCTDSVFETRTRPCLLYQIKRCSGPCTHEVSDEGYAELVKEAKDFLSGKSQAVKTAIARQMNEASEDLDFERAAIYRDRLAALSHVQSHQGINPAGIEEADVFAIHHEGGISCIQVFFFRTGQNWGNRAYFPKADPSLPGSEILNAFLAQFYDDKPVPKQILLSETVEEQELLAAALGEKAGHKVTISVPQRGEKKDITDHVLANAREAHGRKLAETSSQARLLKGFAETFNLPYVPRRIEIYDNSHIMGTNAVGGMVVAGPEGFVKNQYRKFNIKSTDITPGDDFGMMREVMTRRFSRLLKEEGKPDRAQTPTPEEAADLPFPAWPDVILIDGGQGQMTAVRAILDELGIRDCVTAIGVAKGVDREAGRERFFADGRSDFSLPPRDPVLYFIQRMRDEAHRFAIGSHRARRKKEMVRNPLDEISGIGPGRKRSLLQHFGTAKAVSRAGLNDLMTVTGISETVARQIYNHFHESGSD