Q5WDG7 AF NFT

UvrABC system protein B

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig2sxl7njrnybcbjveuhfcoaxflb4yfvgvkf36p2uii46g66gugoy/metadata.json
IPFS of structure file: 
bafybeihwjazoe3vzb7ppsjralwbdnqkkmtyx6oy2z53ihs4e2izfkbuy4m/AF-Q5WDG7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4E86D2439266DCa1580a1734488545A520deFE4E
First NFT owner address (bech32): 
genesis1f6rdysujvmw2zkq2zu6y3p2955sdaljwfw8v9t
Current NFT ID #493194 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
493194
Accession (UniProt):
Q5WDG7
Name::
UvrABC system protein B
Experimental Method:
Predicted structure
Sequence source:
Alkalihalobacillus clausii (strain KSM-K16)

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 Q5WDG7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5WDG7|UVRB_ALKCK UvrABC system protein B OS=Alkalihalobacillus clausii (strain KSM-K16) OX=66692 GN=uvrB PE=3 SV=1 MDQTFQLVSDYSPQGDQPKAIEQIVTGIQNGKKHQTLLGATGTGKTFTMSNVIQAVNKPTLVMAHNKTLAGQLYSEFKQLFPNNAVEYFVSYYDYYQPEAYVPSSDTFIEKDASINDEIDKLRHSATSSLFERRDVIIIASVSCIYGLGSPEEYRDLVLSIRTGMEMDRNSLLRKLVDIQYDRNDINFVRGTFRVRGDVVEIFPASRDEQCMRVEFFGDEIERITEVDALTGEIKGERHHVSIFPASHFVTREEKMKKAIANIEVELEERLSVLRKEEKLLEAQRLEQRTRYDLEMMAEMGFCSGIENYSRHLTLREAGATPYTLLDFFPKDFLLIVDESHVTLPQVRGMYNGDRARKEILVNHGFRLPSALDNRPLKFEEFEEKVGQAVYVSATPGPYELEHTPEMVEQIIRPTGLLDPVVEVRPIEGQIDDLIGQIHDQIAKDERVLVTTLTKKMAEDLTDYLKEIGIKVRYLHSEVKTLERLEIIRQLRLGTFDVLIGINLLREGIDIPEVSLVAILDADKEGFLRAERSLIQTIGRAARNANGRVIMYADKMTHSMEVAINETKRRRQIQQAYNEQHGITPQTIQKRIPEVVQATYAAEETGDYKASSTSSKKLGKKERQATIERVEAEMKQAAKELNFERAAELRDVLLELKAEG