Q59XY0 AF NFT

Pre-mRNA-splicing factor CWC22

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib24csklb5dixh4et2o5s6n4js6rqh27qskjeiwgvrlvjgrxsd7ii/metadata.json
IPFS of structure file: 
bafybeiah3gpnsrypglmcrnc6kalves7gpc3mul5znrthe6bmvnns64m35y/AF-Q59XY0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x04766A502967EAD08B1459294292a6c340B1D867
First NFT owner address (bech32): 
genesis1q3mx55pfvl4dpzc5ty559y4xcdqtrkr8g48hus
Current NFT ID #81425 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
81425
Accession (UniProt):
Q59XY0
Name::
Pre-mRNA-splicing factor CWC22
Experimental Method:
Predicted structure
Sequence source:
CANDIDA ALBICANS (STRAIN SC5314 / ATCC MYA-2876)

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 Q59XY0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q59XY0|CWC22_CANAL Pre-mRNA-splicing factor CWC22 OS=Candida albicans (strain SC5314 / ATCC MYA-2876) OX=237561 GN=CWC22 PE=3 SV=2 MENSTTTTTTTTVTQPDESYQRTKWIETKKNIKQLLQQLTPSNIKQTVLQLFQINLLRYQGLFIREIMKQQIRITTNAELYGSLISIINSKIPEIGELLINRLVLQFKKNYLQNNKNLINSSIIFICQLINQQVLNEILILQILQMLLESNVPNNNNNNNNNNIELAIMVLKQTGSYLFKHSNTALIMILNRLKDILQDGANANANGGNGGVGLSSWNRKSIEYILKLARNDFKNISIIKNGLDLVETEDKETHVITLEDKLYSRDHLNVFSVDEEYLDHENEYIELKKEILGETDHEDENENEIQVIETTKNYEEKITDMSQSELLQYQKTVYLTIMSSMSSDEAVHKLLKLNFKSKIKNKTKNKTKTKTNSNDNEILADMVIKCCSQEKTYSKYYGIIGEKLISRNDHWHNLFIKLFKYYYDIIENFETNSLRNLGKFFGHLFASDKLALDQAWSNIKLTEQDTNPAKRILLKFIFQEMIEELGINEVKERLINDDYLKPYIKGIFPVINVDGKDADAIRFSINFFTAIGLGVLTEEMRYVLDNLSEPEEEDDRGRSRSRSYSRSASSSSYNSRSRSYSRSQSRSSRSPNPRGRQRFKTKKHNHNESRTPSRENLKRKRSESVTDRNGNNNNNNNNNLQDLLNNLK