P52752 AF NFT

Hydrophobin-like protein ssgA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiezxc7unbj4hsvglhpkuq443t6pdemmwrfoa22t4e4vkaaq5f2eue/metadata.json
IPFS of structure file: 
bafybeiatwafk24gfi2ik7ku2qwnohgstokqo75uolumlnpoahtepyw5as4/AF-P52752-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5517f8f36E0c2BCFC276E392904DC7DA3ad9fe5f
First NFT owner address (bech32): 
genesis125tl3umwps4ulsnkuwffqnw8mgadnljlcxme3m
Current NFT ID #437422 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
437422
Accession (UniProt):
P52752
Name::
Hydrophobin-like protein ssgA
Experimental Method:
Predicted structure
Sequence source:
METARHIZIUM ANISOPLIAE

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 P52752 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P52752|SSGA_METAN Hydrophobin-like protein ssgA OS=Metarhizium anisopliae OX=5530 GN=SSGA PE=2 SV=1 MFKALIVALAAVAAAIPTQQPSSNEMNCDSGVYCCNKVAQNTGIVVPIDALSSTCGDTLKLVTVDALNDKCTSQTVCCNNVQQNGLVNVACTPIDV