B0VQP6 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigb2ymozh5amlal2ckyyhutmai37csw2x2pz3l7is3sqs2xh5bfw4/metadata.json
IPFS of structure file: 
bafybeigt634g7xj2rqr2ym5qsricisjkr3ikg6vx7drljz2uu6gbv6cz4a/AF-B0VQP6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf8964D3faf5f5c7c3756ec21dbc8F8399Fd7Ff63
First NFT owner address (bech32): 
genesis1lzty60a0taw8cd6kassahj8c8x0a0lmrg6eagg
Current NFT ID #532155 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532155
Accession (UniProt):
B0VQP6
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
ACINETOBACTER BAUMANNII (STRAIN SDF)

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 B0VQP6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B0VQP6|YIDD_ACIBS Putative membrane protein insertion efficiency factor OS=Acinetobacter baumannii (strain SDF) OX=509170 GN=ABSDF3681 PE=3 SV=1 MVRILRWFIRLYQIAISPLLGPRCRYIPTCSQYALEALQTHGAIKGVWLSSKRICRCHPWGGSGYDPVPLKAIRFISFHQIDSQTHHVAVPFRDRLMKQNLSNHLG