Q81H23 AF NFT

Serine-protein kinase RsbW

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih4j5xd36mnmdkzbes3a4xmr2uwf6rxm65indohca6p7peyh7pxka/metadata.json
IPFS of structure file: 
bafybeid2c5jp5sfe4xzhhv6dhkzdelmbpmyri6ka3mcgot4dqjnxfs3v7q/AF-Q81H23-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xcBd878cACF8B1F59a9D92Dfb5b82Ad72Fd006916
First NFT owner address (bech32): 
genesis1e0v83jk03v04n2we9ha4hq4dwt7sq6gkkvtpa4
Current NFT ID #410800 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
410800
Accession (UniProt):
Q81H23
Name::
Serine-protein kinase RsbW
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain ATCC 14579 / DSM 31 / CCUG 7414 / JCM 2152 / NBRC 15305 / NCIMB 9373 / NCTC 2599 / NRRL B-3711)

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 Q81H23 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q81H23|RSBW_BACCR Serine-protein kinase RsbW OS=Bacillus cereus (strain ATCC 14579 / DSM 31 / CCUG 7414 / JCM 2152 / NBRC 15305 / NCIMB 9373 / NCTC 2599 / NRRL B-3711) OX=226900 GN=rsbW PE=3 SV=1 MMERFEKIEMKIPAKAEYVAIIRLTMAGVANRMGFAYDDIEDMKIAISEACTNIVQHAYKEDVGEIAIVFGLYENRLEIMVADNGVSFDFNNLKRKVGPYDISKPVEHLPENGLGLYLINTLMDDIQIMHDEGMTVLMTKYIQREQVENDGNPISTYESY