Q6BJY4 AF NFT

KNR4/SMI1 homolog 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicn6q2uiyoztkengekz3i2taonvdzyqos2wsxo5pzirhppgncyz5m/metadata.json
IPFS of structure file: 
bafybeighcqqxl2snyod2cwvpuofc4w4kzuwgm7a7q26xdob2jptpbw6s74/AF-Q6BJY4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbff27Dc0a932A6E0d9Fe883AAbD1BF27bB95A69F
First NFT owner address (bech32): 
genesis1hle8ms9fx2nwpk073qa2h5dly7aetf5lctcm7h
Current NFT ID #431222 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
431222
Accession (UniProt):
Q6BJY4
Name::
KNR4/SMI1 homolog 2
Experimental Method:
Predicted structure
Sequence source:
Debaryomyces hansenii (strain ATCC 36239 / CBS 767 / BCRC 21394 / JCM 1990 / NBRC 0083 / IGC 2968)

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 Q6BJY4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6BJY4|SMI2_DEBHA KNR4/SMI1 homolog 2 OS=Debaryomyces hansenii (strain ATCC 36239 / CBS 767 / BCRC 21394 / JCM 1990 / NBRC 0083 / IGC 2968) OX=284592 GN=DEHA2F26422g PE=3 SV=2 MGIIDNFKSFVHSITTEDHYASYDSPYKNSAVNNVGTTVGGGNSSSRLHELNRLATVNSSSHSLIEGGNNGSRTSLSRNGSSTTVGYRPGLRSSNTNSSELQLQNLNASGQPPLPSIDSLWDRIESWLEEEYPELGDNLNDGVTTADLNEFENDLGCGSLPVEIRQFYKRHDGQFRGGKPTGLVMGLTLLDLEGIIEEYAIWAKVNQRLEKQQYMFQHQQQQQQHQKATSSADASETHGHENKINNSFIANQKSIPPNAIQPYYAHRGWIPFLKDFCGNQIAIDLAPGPQGHWGQIIIFGRDYDTKLVIASNLQEFMFGFVSDLELGNFQIDQNDQDGGFLDGSRNDDDYMIGDGEEDQGELCFRDREQKEFGNSIKGKLTYLEVLKRRALKTFGITNLEKFSTSFTPQRMPHAKPNASGMASPVRAASPSMSGATANTNKSQNPLINMESSSKVALPKETLIDEDEKVPEEPVKKSEVKSVKNTAAAEPEKETKQKDEIIEEKPEVIETPAKEDDKEEEEEEQEEEKEQEKEHENEEAPEDEQNEDAKPLTKTQKKNQSKKAKKQQQKQKQNETNDVEEVAEDLNDVAL