B2K870 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieonn4ufshn2tz2whf3pokz6mtitmfyjiedhkevaa2fptkbk47e7m/metadata.json
IPFS of structure file: 
bafybeiacmz5ticjih6hytnij72e6bvbl2zufgm7joajp4wfje2qqwpxw2a/AF-B2K870-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x236BE31147C31F4Cf9E96E9Be7E930dAedc070fA
First NFT owner address (bech32): 
genesis1yd47xy28cv05e70fd6d706fsmtkuqu86la49gg
Current NFT ID #532652 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532652
Accession (UniProt):
B2K870
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Yersinia pseudotuberculosis serotype IB (strain PB1/+)

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 B2K870 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B2K870|YIDD_YERPB Putative membrane protein insertion efficiency factor OS=Yersinia pseudotuberculosis serotype IB (strain PB1/+) OX=502801 GN=YPTS_4203 PE=3 SV=1 MASPLSPGSRILIGLIRGYQLVISPLLGPRCRFHPTCSHYGIEALRRFGMIKGSWLTLKRVLKCHPLNSGGDDPVPPKLDDNREH