P96720 AF NFT

Uncharacterized protein YwqH

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifdfksrsjbfvpoy3mcwlbl4pzuut7rsgv7fxoksiesbhnvpfhigua/metadata.json
IPFS of structure file: 
bafybeidquwj3bbk2gvd2bp6xkm7ysbnxmasmrqa34jjlfiwbkkzfbp5hlq/AF-P96720-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbe16d62EBe1647348E4f506207f4F42FE1EA97cE
First NFT owner address (bech32): 
genesis1hctdvt47zernfrj02p3q0a859ls7497wenaf0e
Current NFT ID #539117 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
539117
Accession (UniProt):
P96720
Name::
Uncharacterized protein YwqH
Experimental Method:
Predicted structure
Sequence source:
BACILLUS SUBTILIS (STRAIN 168)

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 P96720 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P96720|YWQH_BACSU Uncharacterized protein YwqH OS=Bacillus subtilis (strain 168) OX=224308 GN=ywqH PE=4 SV=1 MGYESMLADIKSSLNGKISDVEDKIEKLKKAKKDIDTLQEEAITEIKEIVKPELGKHWTGTKADDFDKGREEAKSEASKIVNDKYNEYMASINGKIFDLEWDKAKYASELFIANGAADLLKKGEEFAEEVGNTISKLKWW