B9J290 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiant36gbho6oo6za4x5uw7j25lwxisg2u53hyymava6q4f3o5zk5y/metadata.json
IPFS of structure file: 
bafybeihvh4hms5omtc25niquctsva44bkidshqyjunlqcbrrvvx4q2alli/AF-B9J290-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBeB220F0B5b0C48F46B5DDd3E3b071BC0827f8D6
First NFT owner address (bech32): 
genesis1h6ezpu94krzg7344mhf78vr3hsyz07xk78k92g
Current NFT ID #532189 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532189
Accession (UniProt):
B9J290
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain Q1)

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 B9J290 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B9J290|YIDD_BACCQ Putative membrane protein insertion efficiency factor OS=Bacillus cereus (strain Q1) OX=361100 GN=BCQ_4607 PE=3 SV=1 MKQIFIGIIRFYQKFISPMTPPTCRFYPTCSHYGLEAFQKHGALKGFWLTCKRILKCHPFHPGGFDPVPDKKDDKVHS