P29760 AF NFT

Glucoamylase S2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib5ngh5evzz7tdewvpjl7z25mx3rojiwgve6eox5wj2w5pkwrfdr4/metadata.json
IPFS of structure file: 
bafybeiby4m6lq5bst2hlyrn5e5lruytvuc6t66azo7ttmi5wtfrlpk64fq/AF-P29760-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2060CE27f80b40356E090723Cf782004028faaeB
First NFT owner address (bech32): 
genesis1ypsvuflcpdqr2msfqu3u77pqqspgl2htmnw0wa
Current NFT ID #15924 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
15924
Accession (UniProt):
P29760
Name::
Glucoamylase S2
Experimental Method:
Predicted structure
Sequence source:
SACCHAROMYCES CEREVISIAE

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 P29760 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P29760|AMYI_YEASX Glucoamylase S2 OS=Saccharomyces cerevisiae OX=4932 GN=STA2 PE=3 SV=1 MQRPFLLAYLVLSLLFNSALGFPTALVPRGSSSSNITSSGPSSTPFSSATESFSTGTTVTPSSSKYPGSKTETSVSSTTETTIVPTTTTTSVITPSTTTITTTVCSTGTNSAGETTSGCSPKTITTTVPCSTSPSETASESTTTSPTTPVTTVVSTTVVTTEYASTSTKQGGEITTTFVTKNIPTTYLTTIAPTSSVTTVTNFTPTTITTTVCSTGTNSAGETTSGCSPKTVTTTVPCSTGTGEYTTEATAPVTTAVTTTVVTTESSTGTNSAGKTTTSYTTKSVPTTYVFDFGKGILDQSCGGVFSNNGSSQVQLRDVVLMNGTVVYDSNGAWDSSPLEEWLQRQKKVSIERIFENIGPSAVYPSILPGVVIASPSQTHPDYFYQWIRDSALTINSIVSHSADPAIETLLQYLNVSFHLQRTNNTLGAGIGYTNDTVALGDPKWNVDNTAFTEPWGRPQNDGPALRSIAILKIIDYIKQSGTDLGAKYPFQSTADIFDDIVRWDLRFIIDHWNSSGFDLWEEVNGMHFFTLLVQLSAVDRSLSYFNASERSSPFVEELRQTRRDISKFLVDPANGFINGKYNYIVETPMIADTLRSGLDISTLLAANTVHDAPSASHLPFDIDDPAVLNTLHHLMLHMRSIYPINDSSKNATGIALGRYPEDVYDGYGVGEGNPWVLATCAASTTLYQLIYRHISEQHDLVVPMNNDCSNAFWSELVFSNLTTLGNDEGYLILEFNTPAFNQTIQKIFQLADSFLVKLKATWEQTGN