Q12215 AF NFT

Cell wall integrity and stress response component 3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaxkcxi6k5f7mnctjinowkywbfn7vluzelrovcaj7fipu4y45w5pi/metadata.json
IPFS of structure file: 
bafybeigejp4flggt5pa2w5d6rtvxmcrrmk6ocxijpwdxq27jov4g7fx3su/AF-Q12215-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xc487cEf008e163c9c475e4f157372b0d7968A7cb
First NFT owner address (bech32): 
genesis1cjruauqgu93un3r4unc4wdetp4uk3f7tm273d6
Current NFT ID #500339 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
500339
Accession (UniProt):
Q12215
Name::
Cell wall integrity and stress response component 3
Experimental Method:
Predicted structure
Sequence source:
SACCHAROMYCES CEREVISIAE (STRAIN ATCC 204508 / S288C)

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 Q12215 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q12215|WSC3_YEAST Cell wall integrity and stress response component 3 OS=Saccharomyces cerevisiae (strain ATCC 204508 / S288c) OX=559292 GN=WSC3 PE=1 SV=1 MERVWFAKLTNKGTIKIGYISFILLSLLCQSLIGLVNADFNYEGCYSAADIQSAGLSLKNSYIYQSVSYCQNQCPESAVVALFNGSDCYCGNSVSFLTSLTKSTDSNCGTKCSGWPYQMCGGSSYMNVYVNAETFVSSVESSSSKEGSSTSYMPSTTSSLSSAQISSTTRRTSTDMKSSEMIATTVSTTSTTSSSTSSTTSSTTSSTTSSTTSSTTSSSTSSTTSSTTSSTTSSTTSSTTSSTTSSTTSSTTSSTTSIFSVTSSSSSITLSSSEHTTVDSRTSSPSSTLVPVSSSSSTLSTPKVTSMTPSTSSTIPIVTSVELVTSVVTKAIVSTSDQHQETIFVTRTSVVERSSEVATATAAASNNRSNSTSKQRLSGGAIAGIVIGVVFGVIFIILILLFLIWRRRKSHDQLDLEETKHYQPYSFGDEDANPIGPPPSSGTTNWMRHSRGNTAGSIGTSNMYGFSMSNGANYSSPSSNTSGSIINNLAGLQDATVQKQNLPSTVFEEANTLNSANERFSANSLPDMMMSGPLQVVNPDNPDNPELSSTVSHNRA