Q753Y0 AF NFT

Oxidant-induced cell-cycle arrest protein 5

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibaqtpbbrhxe2qidqcii6f7iptceazgfhvxzvhq44dypfvbqk2rlm/metadata.json
IPFS of structure file: 
bafybeiffc53tkccupymcmxbitor4omqelfizeivi6zlcxdxkevm726huz4/AF-Q753Y0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x170c3D99552C36Afe2B5B1367e2Af517d767f104
First NFT owner address (bech32): 
genesis1zuxrmx249sm2lc44kym8u2h4zltk0ugys9yp94
Current NFT ID #280008 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
280008
Accession (UniProt):
Q753Y0
Name::
Oxidant-induced cell-cycle arrest protein 5
Experimental Method:
Predicted structure
Sequence source:
ASHBYA GOSSYPII (STRAIN ATCC 10895 / CBS 109.51 / FGSC 9923 / NRRL Y-1056)

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 Q753Y0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q753Y0|OCA5_ASHGO Oxidant-induced cell-cycle arrest protein 5 OS=Ashbya gossypii (strain ATCC 10895 / CBS 109.51 / FGSC 9923 / NRRL Y-1056) OX=284811 GN=OCA5 PE=3 SV=2 MALQRNSKQNQQQWYRELVNKVIQLLQQNDHDSLALIARNCGVPPQLRHLVWPVLLKYHPFVISPSILSNTLIFDKTEDKWVYECENRARRDVEQAVMHDLQKFFVNKRSDQHMPLPDIEQHMRFLRDTIMRFLDKWERVFKYEVALAWIAIGLAEWVPIDGWGESAPGGGGVCSEDMALPKGRSTDVPVLQGKRHHITIRSLYKEYPLPRELSSRLTKRCFNFYDTFERLVLVILHCPDVTRTKMKVANGRNYPFISGGDVLFQTQLFFKIFQMTLPELYQPFTDEESLQSSRKADWIYWWFKACGAKVMHKQDRAHLWDVLLGWRPHPSTLNFYLDYNNKSFAHLYNTKLNLDPQFFHKVCKHGNDHFWFPDLDTLPLGSPGLETDCQVVNELIRHNSYESKDTGAPGTPSKTSQAGNNYRSPIRPSQKHQKDIPFSLIDPHVQLIFIYIAILQQNEFKLLEFEEAEITEFLTKVPLLSKTDDYSYKRLYDEESTSLSSTDTEDSQNSSSRPSTSSHMMIEVGNDDKIANTFDDLSQLAGDIWRKWMWFEFEESQDSV