C4ZYY2 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibverm46gxabkbzrt5ec656wk2f7mlpqm6g4ycxbhzcdrccs5hece/metadata.json
IPFS of structure file: 
bafybeifjb33eqkjw7bpkk5h7ujfao2l6rcaar2hy5enpmhw72ggtvtivle/AF-C4ZYY2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xFCd07EE2Dc6A020627FBe36C379d324e4f874651
First NFT owner address (bech32): 
genesis1lng8ackudgpqvflmudkr08fjfe8cw3j3pdd6c0
Current NFT ID #532326 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532326
Accession (UniProt):
C4ZYY2
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Escherichia coli (strain K12 / MC4100 / BW2952)

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 C4ZYY2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C4ZYY2|YIDD_ECOBW Putative membrane protein insertion efficiency factor OS=Escherichia coli (strain K12 / MC4100 / BW2952) OX=595496 GN=yidD PE=3 SV=1 MAPPLSPGSRVLIALIRVYQRLISPLLGPHCRFTPTCSSYGIEALRRFGVIKGSWLTVKRVLKCHPLHPGGDDPVPPGPFDTREH