Q59VX8 AF NFT

Septation protein 7

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic4zmebmo3tgekuluv4sqv6q7kurbfslihbwegudsfl334sh6lrxu/metadata.json
IPFS of structure file: 
bafybeig53f7vhqi7qnun2jo4hjszvuns2dflcgfjfzf55hf5nzs5pgl62m/AF-Q59VX8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf4ED13986579E8e227b3ED6c02276c648754EC27
First NFT owner address (bech32): 
genesis17nk38xr9085wyfana4kqyfmvvjr4fmp80usw7n
Current NFT ID #428447 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
428447
Accession (UniProt):
Q59VX8
Name::
Septation protein 7
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 Q59VX8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q59VX8|SHS1_CANAL Septation protein 7 OS=Candida albicans (strain SC5314 / ATCC MYA-2876) OX=237561 GN=SEP7 PE=1 SV=1 MSRFDYRNTSKNTSVVDPDHSSPIINYRKDAKKGIKFTFMVVGESGTGKTTFINSLLNKKVLNHRYEKLSPTVGDTKTLMFTSAKSVALPNTSILTKNEFNPRTINEEPGIALTETHIEIIDDDNQKLLLNIIDTPGFGENLNNELCFIEIENYLKQQFDLVLAEETRIKRNPRFVDTRVHVMLYFITPTGHGLREIDIQCMKRLSKYVNIIPVIGKADSFTLNELQHFKQQIRIDIQKFNVPTFQFDNSLNDYDEDEDYDLIQECKFLTNLQPFAVVTSEDVFEVRESTTSTKGNNDKPKIIRARKYPWGLVDINDTRYSDFPILKSVLLGSHLQDLKDLTHDFLYETYRTERLTKVTGNGQAFDDEENEDAEFHDTVEHQLNDSNRGVGGDDNNNNNNNNNNASTIPSMSNLAQLTTSTNEHDASHIDNNSITSTSSSIKKSTSMLIDDHPSSSPKLKNISSFTSSTSTVSLEGGEKEGGHHDRGANSTSTNNNNNNNAFKRLSIGPQRNQLRQISETVPYVLRHERILERQQKLEEMEQASARELANRAALLEKKAAQLKAKEKALRQLELNRQKQEESATSSLHRKDSDISGSVQSGGVDDGKSESTNNNNNNRNGYGYGHGHGHGQSHEYDNSEYHHDDSTPNYETSRLQKDETLTDLHSIVSNH