Q9P7V9 AF NFT

Probable ubiquitin carboxyl-terminal hydrolase 9

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeify7mn4ro4zxmlhycqmotdxikbhhsfzvnd7kkqze7dpkrji5bd52a/metadata.json
IPFS of structure file: 
bafybeihb7llofhnmqtjzsqtr33cqeulkqt5jvcg233cq6kv426j5cz3qa4/AF-Q9P7V9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x372c2273E3B7163765287C692296402391898B32
First NFT owner address (bech32): 
genesis1xukzyulrkutrwefg035j99jqywgcnzejympxnc
Current NFT ID #487191 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
487191
Accession (UniProt):
Q9P7V9
Name::
Probable ubiquitin carboxyl-terminal hydrolase 9
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 Q9P7V9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9P7V9|UBP9_SCHPO Probable ubiquitin carboxyl-terminal hydrolase 9 OS=Schizosaccharomyces pombe (strain 972 / ATCC 24843) OX=284812 GN=ubp9 PE=1 SV=1 MSLLRWMGMNSPGSTDRRKSTWEAELPKPSIRPETLTDRFYGLTNYGNTCYVSSVLVSLYHLKPFRDSLNSYPLPSAPPNFKSVCTKTNHPESSSSRHSKKKSMENRKSSLYGSNGINSCGCVDISNVGSESGTKHQIVVGESNCSAYGMKENIYTCLKDLYCSVSCCDCRYGICSPERFIQVLRRDNEAFRSTQQQDAHEFFNFLLNSVTETLDEYYGNHSDVMHPKWVHSLFEGTLTSETKCLTCENITSRDESFLDLSIDIENHTSVTSCLRSFSASEMLSSKNKFHCDVCKSLQEAEKRMKIKKLPKILSLHLKRFKYNETQEGHDKLFYTIVFTNEMRLFTTTEDAENAERMYYLSSVIVHVGGGPHRGHYVSIVRTKTYGWVLFDDENVTPVNENYLQRFFGDQPGQATAYVLFYTAADEEDDDVSEVDTKESIKPMSIPSQLKQESVEVSNLSSTPRSNSTITYPDMDPMVASFSSQYSHKTLDRDINSRSYFDREPSLDAERFHSRSVDASPKAVRRESRSFFPSLTRKRSKFFGSSQSNSPKDSPLRDTHKSSDEHSESKHSHTLPWQFSRSRSKR