O57521 AF NFT

Heat shock protein HSP 90-beta

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihtqukmhxrbtnwazvybt32zohpftnqn43jw2aujphyw7s47xkqgvi/metadata.json
IPFS of structure file: 
bafybeifsbfzy27ylkghjrvlmg3irof6pggxfkwq74uaet3cboks57uiyai/AF-O57521-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x69bd3d8B33871a491e7265723C8BA854444ae3eb
First NFT owner address (bech32): 
genesis1dx7nmzensudyj8njv4erezag23zy4clty0lc0p
Current NFT ID #177409 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
177409
Accession (UniProt):
O57521
Name::
Heat shock protein HSP 90-beta
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 O57521 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O57521|HS90B_DANRE Heat shock protein HSP 90-beta OS=Danio rerio OX=7955 GN=hsp90ab1 PE=1 SV=2 MPEEMRQEEEAETFAFQAEIAQLMSLIINTFYSNKEIFLRELVSNASDALDKIRYESLTDPTKLDSGKDLKIDIIPNVQERTLTLIDTGIGMTKADLINNLGTIAKSGTKAFMEALQAGADISMIGQFGVGFYSAYLVAEKVTVITKHNDDEQYAWESSAGGSFTVKVDHGEPIGRGTKVILHLKEDQTEYIEEKRVKEVVKKHSQFIGYPITLYVEKERDKEISDDEAEEEKAEKEEKEEEGEDKPKIEDVGSDDEEDTKDKDKKKKKKIKEKYIDQEELNKTKPIWTRNPDDISNEEYGEFYKSLTNDWEDHLAVKHFSVEGQLEFRALLFIPRRAPFDLFENKKKKNNIKLYVRRVFIMDNCEELIPEYLNFIRGVVDSEDLPLNISREMLQQSKILKVIRKNIVKKCLELFAELAEDKDNYKKFYDAFSKNLKLGIHEDSQNRKKLSELLRYQSSQSGDEMTSLTEYVSRMKENQKSIYYITGESKDQVAHSAFVERVCKRGFEVLYMTEPIDEYCVQQLKDFDGKSLVSVTKEGLELPEDEDEKKKMEEDKAKFENLCKLMKEILDKKVEKVTVSNRLVSSPCCIVTSTYGWTANMERIMKAQALRDNSTMGYMMAKKHLEINPDHPIMETLRQKAEADKNDKAVKDLVILLFETALLSSGFSLDDPQTHSNRIYRMIKLGLGIDEDEDVPVEEPSSAAAPEDIPPLEGDDDASRMEEVD