Q9XT62 AF NFT

Cell cycle checkpoint protein RAD17

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic43n5ar5q6qjdliajwpouum27gwu2mc3jgsdmdcvphox7hxeordy/metadata.json
IPFS of structure file: 
bafybeifbc7cobc3v6ii2we7homfjhmkxla4qj5mweysvvzzwtvnabgvxme/AF-Q9XT62-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xdCe7F91edCFe217DdEaC9d1837C7025e0088702f
First NFT owner address (bech32): 
genesis1mnnlj8kulcshmh4vn5vr03cztcqgsup004jp3j
Current NFT ID #331893 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
331893
Accession (UniProt):
Q9XT62
Name::
Cell cycle checkpoint protein RAD17
Experimental Method:
Predicted structure
Sequence source:
CHLOROCEBUS AETHIOPS

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 Q9XT62 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9XT62|RAD17_CHLAE Cell cycle checkpoint protein RAD17 OS=Chlorocebus aethiops OX=9534 GN=RAD17 PE=1 SV=1 MNQVTDWVDPSFDDFLECRDISTITATSLGVNNSSHRRKNGPSTLESSKFPVRKRGNLSSLEQIYSLENSKESLSENEPWVDKYKPETQHELAVHKKKIEEVETWLKAQVLERQPKQGGSILLITGPPGCGKTTTIKVLSKEHGIQVQEWINPVLPDFQKDDFREIFNTESSFHMFPYQSQIAVFKEFLLRATKYNKLQMLGDDLRTDKKIILVEDLPNQFYRDSHTLHEVLRKYVRIGRCPLIFVISDSLSGDNNQRLLFPKEIQEECSISNISFNPVAPTIMMKFLNRIVTIEANKNGGKITVPDKTSLELLCQGCSGDIRSAINSLQFSSSKGENNLWPRKKGMSLKSDAVLSKSKRRKKPDRVFENQEVQAIGGKDVSLFLFRALGKILYCKRASLTELDSPRLPSHLSEYERDTLLVEPEEVVEMSHMPGDLFNLYLHQNYIDFFMDIDDIVRASEFLSFADILSGDWNTCSLLREYSTSIATRGVIHSNKARGYAHCQGGGSSFRPLHKPQWFLIYKKYRENCLAAKALFPDFCLPALCLQTQLLPYLALLTIPMRNQAQISFIQDIGRLPLKRHFGRLKMEALTDREHGMIDPDSGDEAQLNGRHSTEESLGEPTQASAPETWSLPLSQNSASELPASQPQPFSAQGDMEENIIIEDYESDGT