Q1C0B5 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiawjly3445mz6zl523nghfzcq6up6qbb24l7azt7mcntx5md32nrq/metadata.json
IPFS of structure file: 
bafybeibeyztxjblyiijqmlt3qkjdi3bq3lw3pvbovcejq3scojkdztuaxi/AF-Q1C0B5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBF0D2e107Ce1EcD2C4369B042274201DB719AaAF
First NFT owner address (bech32): 
genesis1huxjuyruu8kd93pknvzzyapqrkm3n240z6jrgl
Current NFT ID #532651 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532651
Accession (UniProt):
Q1C0B5
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Antiqua)

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 Q1C0B5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1C0B5|YIDD_YERPA Putative membrane protein insertion efficiency factor OS=Yersinia pestis bv. Antiqua (strain Antiqua) OX=360102 GN=YPA_4146 PE=3 SV=1 MASPLSPGSRILIGLIRGYQLVISPLLGPRCRFHPTCSHYGIEALRRFGMIKGSWLTLKRVLKCHPLNSGGDDPVPPKLDDNREH