Q97LP6 AF NFT

UvrABC system protein C

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidejui3f37asa7oegp43t4d7a2a435aurupia5tbxc2dhpd57ikmq/metadata.json
IPFS of structure file: 
bafybeidwwyf4xcdfft5mynev2ghaib5dy6xgm4e33yorj6zr55marntlne/AF-Q97LP6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5c4adF1416281C09AE8eE1cbb80fF7e44cE86F97
First NFT owner address (bech32): 
genesis1t39d79qk9qwqnt5wu89msrlhu3xwsmuhlku3xz
Current NFT ID #493684 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
493684
Accession (UniProt):
Q97LP6
Name::
UvrABC system protein C
Experimental Method:
Predicted structure
Sequence source:
CLOSTRIDIUM ACETOBUTYLICUM (STRAIN ATCC 824 / DSM 792 / JCM 1419 / LMG 5710 / VKM B-1787)

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 Q97LP6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q97LP6|UVRC_CLOAB UvrABC system protein C OS=Clostridium acetobutylicum (strain ATCC 824 / DSM 792 / JCM 1419 / LMG 5710 / VKM B-1787) OX=272562 GN=uvrC PE=3 SV=1 MFDFEYQLKNLPDKPGVYIMKNSLGEVIYVGKAKILKNRVRQYFRNSKNHSEKVKAMVKNISEFEYIVTDSEIEALILECNLIKKYKPRYNILLKDDKHYPFIKVTMNEDFPRIIVTRNMVKDGSKYFGPYPDVSAVHETVDLMRRIFPIRTCKKYIKENGENIRPCLNYHIKRCNAPCAGLISKEEYGEIIKKAVGLISGKNNDIIRELKEEMEKASMNLDFEKAADLRDKMLAAQKVTEKQKIIIGNFENEDYISLYSDEKDSCVQVFFLREGKIVGREHFIVENTAGENEGDIIGEFIKEFYSGTAYVPKSIYASAGEDLNLLENWLTMKRGSKVEIKIPQKGEKKDIIEMVKRNSKITLEKFKIKLLSDKRLNENILIEMTEVIGLEEVPHRIEAYDISNIQGVDSVGSMIVFEEGKPKNSDYRRFKIKTVKGANDYDSMREILTRRFKHGLEEVNSIVNKNLSLSAGKFCVFPDLILMDGGKGQVNIALEVLKEFNIDIPVCGMVKDDRHNTRGIIYNNNEIDIKSNRKIINFVTRVQDEVHRFAITYHRSLRDKRVLHSVLDDIPYIGEKRRKALLKHFGSIENIKKATYEELMKTPSIDKKAAESIVSYFRGRKGE