Q09795 AF NFT

Uncharacterized peptidase C22G7.01c

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiegbsotjlmozlf7mem5h3ibyufhxq3bhdmsw3cenepgggghf52phu/metadata.json
IPFS of structure file: 
bafybeicwyin3hawx2jfei6rd7ia6z6eyoqccnmla5t57rcmz55jeits5um/AF-Q09795-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa147A692fF376AB34131A56a056E6E7826B01623
First NFT owner address (bech32): 
genesis159r6dyhlxa4txsf3544q2mnw0qntq93rdf9w0w
Current NFT ID #523583 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
523583
Accession (UniProt):
Q09795
Name::
Uncharacterized peptidase C22G7.01c
Experimental Method:
Predicted structure
Sequence source:
SCHIZOSACCHAROMYCES POMBE (STRAIN 972 / ATCC 24843)

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 Q09795 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q09795|YAA1_SCHPO Uncharacterized peptidase C22G7.01c OS=Schizosaccharomyces pombe (strain 972 / ATCC 24843) OX=284812 GN=SPAC22G7.01c PE=3 SV=4 MVVHTGNRLNKLRELMKERGYTLYVVPSEDAHSSEYTCDADARRAFISGFDGSAGCAVIGETSAALFTDGRYFNQASQQLDENWTLMKQGFTGVPTWEEYCTQMTKCNEKVGIDSSLITFPAAKALRESLFLKSGAVLVGDHDNLVDIVWGASRPKEPLEKLIVQEIKYAGLGVDEKLHNLREAMKEQKIEAFVVSMLDEVAWLYNLRGADVPYNPVFFAYSLVTLDEAFLYVDERKVTPEVSKHLDGFVKILPYDRVFSDAKNSNLTRIGISSKTSWCIATSFGETKVMPILSPISQAKGIKNDAELKGMKECHIRDGCALVEYFAWLDEYLNSGNKINEFDAATKLEQFRRKNNLFMGLSFETISSTGPNGAVIHYSPPATGSAIIDPTKIYLCDSGAQYKDGTTDVTRTWHFGEPSEFERQTATLALKGHIALANIVFPKGTTGYMIDVLARQYLWKYGLDYLHGTGHGVGSFLNVHELPVGIGSREVFNSAPLQAGMVTSNEPGFYEDGHFGYRVENCVYITEVNTENRFAGRTYLGLKDLTLAPHCQKLIDPSLLSPEEVKYLNEYHSEVYTTLSPMLSVSAKKWLSKHTSPI