P33288 AF NFT

Postreplication repair E3 ubiquitin-protein ligase rad18

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifixwzvtx6rfysy6hdc4x4okomyxcce7elvxlwprju4gzzfd5vqcu/metadata.json
IPFS of structure file: 
bafybeibytlitmea5qew6quyciespzakpcl7lumdqpvgxuizfmue6zv3dli/AF-P33288-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb0C4A94B80C0c8A38C5aE5637b6663aC73C048F3
First NFT owner address (bech32): 
genesis1krz2jjuqcry28rz6u43hkenr43euqj8nmyr38j
Current NFT ID #331908 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
331908
Accession (UniProt):
P33288
Name::
Postreplication repair E3 ubiquitin-protein ligase rad18
Experimental Method:
Predicted structure
Sequence source:
NEUROSPORA CRASSA (STRAIN ATCC 24698 / 74-OR23-1A / CBS 708.71 / DSM 1257 / FGSC 987)

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 P33288 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P33288|RAD18_NEUCR Postreplication repair E3 ubiquitin-protein ligase rad18 OS=Neurospora crassa (strain ATCC 24698 / 74-OR23-1A / CBS 708.71 / DSM 1257 / FGSC 987) OX=367110 GN=uvs-2 PE=3 SV=2 MDVFGDEAFNVPDSTDWLGTPLACLMPVEQAFRCHVCKDFYDSPMLTSCNHTFCSLCIRRCLSVDSKCPLCRATDQESKLRGNWALREAVEAFKNSRKVLLEFARTPPTIQAILPDQAGPSSPSKRKATEMEGPKEEDPESKRPRRSTRSTRARAAELTAAILQEEQDTTPSADPDYVDQPPDDGLVACPICLTRMKEQQVDRHLDTSCPGSPQAASKRRPIPAQTPQPSTFPSFNTRLTSQTNQKPPERLPALAYSMLRDTALRKKLSELGLSTHGSRQLLEKRHKEWITLWNANCDSSRPKKRSELLRDLDEWERTVGNPGTAAGGGGGQQGLGLMARAQATGAQIKDKEFDGKAWATRYGGSFGDLIKQARQGIKRQTLDGNGEKADTKGGGGGEDVGPAELPTLQAREGESSAAPTRMDIVPPSSPPRPGQVDDADTEHDGQAPGKDAIAEDTAMREQVIPGTPDKERQWETSQQQQPPIPGDAQLSGMKKPNPETC