Q12500 AF NFT

Late secretory pathway protein AVL9

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihfccuqdfbgfrzbazgahsvchvqmd3uhyvh3qejhczelq7dc5ba4n4/metadata.json
IPFS of structure file: 
bafybeiga5pknno5yns7izjkijrm7mqkwh56q6tmsnzc7plb3e2526edp5m/AF-Q12500-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x76C26cdb36EA84716AfEb69eb52d8dD83128e409
First NFT owner address (bech32): 
genesis1wmpxekeka2z8z6h7k60t2tvdmqcj3eqfqflz7n
Current NFT ID #39369 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
39369
Accession (UniProt):
Q12500
Name::
Late secretory pathway protein AVL9
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 Q12500 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q12500|AVL9_YEAST Late secretory pathway protein AVL9 OS=Saccharomyces cerevisiae (strain ATCC 204508 / S288c) OX=559292 GN=AVL9 PE=1 SV=1 MDEHEEAVIFGICLVDFHHKRGPEIEYWYGLPEGTQSAELWPNLPFQALPDGSHSFEETFTYFTLLYDERRQRSPPNGATDLSDDSINDNTTLFAISCSRQIKSDELVTKDKDVTRSTVQKAIVVISRQPIFGQIKDKLSIVTNAFFLQHDFGDRKIIQSLYENLKSIYTPASLVRNAENRLYIGLCLRKILHDFKRNALVLLKAIMLEKKIIVYGNDVEALCNLQFGLISLIPDLMSNLQDSGSPQLFQDISKLNVVDSFKSSNRESVLRFLGFPLPIFEKGGLFSPYTPLQQMNDIRSERTLFFMIGSSNTLLAEQKEELCHIFVNTDNSTVDILDKTLNPVLQLSSHDKKWIESISGIVSDTWNENDDETPKNSQFEGSEDFIRWQFEDYLTGLLSSVKLSDYLDLHKENDQALKTIPEDMLNSNPVHLFNLNWVQSWKETQNFLIFNSRTDDRLFDLFPPKHIYNGADTLSLLQQRFLATFHNLKRSSSNSSSNKNGHQSEEDIKDQESIESKKSVSQISVNPGKNTDKPAANLWNSWKEYFNKPKNTANEDVTESTEDLKNRSKTSNAIQKAMMGLGLHYKPDAETDQQSEEVGNSEDNEDDDTDEDSEDDDDDGGDDDDSEDDDDDDDGEGDENGDDGEGDENGDDGEGDENGDKEDSQDFSNGFTDVTNINTDHDKENEQNFEGNAENFNEDETVADKDIEGGPESNKNSDSKTDIYENDRNVEDSSKTRNTVKKSNEEGGANDAAIGNCVQDEEKL