O43109 AF NFT

Heat shock protein 90 homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic5e373zvnitorfnxecwi6h75o75hrhglo2f5hs2zj3cob5lq7doi/metadata.json
IPFS of structure file: 
bafybeifmk2suc5ko536simuwovkwcth4trd6rdlbejlihc37dekz7yuxz4/AF-O43109-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xacC927A147a8510a9171e5fD0F68b8F54851494d
First NFT owner address (bech32): 
genesis14nyj0g284pgs4yt3uh7s769c74y9zj2dxvv645
Current NFT ID #179621 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
179621
Accession (UniProt):
O43109
Name::
Heat shock protein 90 homolog
Experimental Method:
Predicted structure
Sequence source:
PODOSPORA ANSERINA

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 O43109 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O43109|HSP90_PODAS Heat shock protein 90 homolog OS=Podospora anserina OX=2587412 GN=MOD-E PE=3 SV=1 MAETFEFQAEISQLLSLIINTVYSNKEIFLRELVSNASDALDKIRYESLSDPSKLDTGKDLRIDIIPDKENKTLTIQDTGIGMTKADLVNNLGTIARSGTKQFMEALTAGADISMIGQFGVGFYSAYLVADRVTVVSKNNDDEQYIWESSAGGTFNISPDNGPSIGRGTKIILHLKDEQTDYLNESKIKEVIKKHSEFISYPIYLHVQKETEVEVPDEEAETVEEGDDKKPKIEEVEDDEEDKEKKPKTKKVKEVKTEEEELNKQKPIWTRNPQDITQEEYAAFYKSLSNDWEDHLAVKHFSVEGQLEFKAILFVPKRAPFDLFETKKTKNNIKLYVRRVFITDDATDLIPEWLSFVKGVVDSEDLPLNLSRETLQQNKIMKVIRKNIVKKALELFTEIAEDKEQFDKFYTAFSKNIKLGIHEDSQNRNTLAKLLRFNSTKSGDEQTSLSDYVTRMPEHQKNMYYITGESIKAVSKSPFLDSLKEKGFEVLFLVDPIDEYAMTQLKEFEGKKLVDITKDFELEETEEEKKQREAEEKEYDGLAKALKNVLGDKVEKVVVSHKLVGAPCAIRTGQFGWSANMERIMKAQALRDTSMSSYMSSKKTFEISPKSPIIKELKQKVEADGENDKTVKSIVQLLFETSLLVSGFTIEEPAGFAERIHKLVALGLNLDEEPEAAADAPAADAGVAAAETSDNAMEEVD