P32622 ATP-NADH kinase YEF1 MolNFT, Molecular NFT on GenesisL1

ATP-NADH kinase YEF1

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeicq775uimzvjeqghim3qgk4kzmvakvpf27tfktnzgs6xjuff26wce/metadata.json

IPFS of structure file:

bafybeibe45xtlnf5doqjiteysh6scswgfkfzhwvszy7rxvbqjt2bibgfpm/AF-P32622-F1-model_v2.pdb

First NFT owner address (eip-55):

0x878270033Ee620a8cF73fb621f575785954ef24B

First NFT owner address (bech32):

genesis1s7p8qqe7ucs23nmnld3p746hsk25aujtr3caqr

Current NFT ID #529190 owner (web3):

0x2E07DDd2cabd9424b49B257870F758CE578010E0

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
529190
Accession (UniProt):
P32622
Name::
ATP-NADH kinase YEF1
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 P32622 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P32622|YEF1_YEAST ATP-NADH kinase YEF1 OS=Saccharomyces cerevisiae (strain ATCC 204508 / S288c) OX=559292 GN=YEF1 PE=1 SV=1 MKTDRLLINASPETCTKGDAEMDTMDTIDRMTSVKVLAEGKVLSNFEEPGLMRCGYHDAKNWVRRLSSETIVGEDTSNLYPFYVDTAYDVRRLRKDLINAKVDLQVENLIIICNINDISTVFLMREVVEWILRNFHSITVYVQDIFKKSTQFAVGDLCKDSNCSKNRVKYWSKEFVKKHDSFFDLMITLGGDGTVLFASSIFTKDVPPIVPFALGSLGFLTNFEFQNFKETLKHILTDEVRINLRMRLQCKLYRRNKPEIDAATGRKICYIDFISEHHVLNEVTIDRGPAPCLSLLELYGNDSLMTKVQGDGLIVATPTGSTAYSLSAGGSLISPSVNAIAVTPICPHTLSFRPIILPDSMELKVRVDMNSRGTSWVNFDGKDRVELKQGDYVVITASPYSVPTIESSASEFFESISKNLNWNDREEQKPFAHILSPKNQEKYRLDSSKNGNDTISNPLESSCISSDAQDEERKSVTETETEIVVERTRQAHFAI

P32622 AF NFT

MOLNFT AF v1

NFT data

MOLNFT P32622 research and analysis (ICN3D with VR)

FASTA sequences

We use cookies on this site to enhance your user experience