B7HTQ3 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiazjwyff3o4ul4rtfxgdbspuj3fib6yyyfqyixwuuwr65aop5pb3u/metadata.json
IPFS of structure file: 
bafybeicsfe5psesnuy6epuzezojyt6vicoouyobyhyyvcfa7sppykh7axy/AF-B7HTQ3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x429aA010A80A47FF4a2777bB34A2bba144d19df2
First NFT owner address (bech32): 
genesis1g2d2qy9gpfrl7j38w7anfg4m59zdr80jky6jnc
Current NFT ID #532187 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532187
Accession (UniProt):
B7HTQ3
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain AH187)

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 B7HTQ3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7HTQ3|YIDD_BACC7 Putative membrane protein insertion efficiency factor OS=Bacillus cereus (strain AH187) OX=405534 GN=BCAH187_A4932 PE=3 SV=1 MKQIFIGIIRFYQKFISPMTPPTCRFYPTCSHYGLEAFQKHGALKGFWLTCKRILKCHPFHPGGFDPVPDKKDDKVHS