Q4ZL10 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaialmf57bhptg64vxwz6zos7ppwygj6jvvjsoxickvlxeiityh4e/metadata.json
IPFS of structure file: 
bafybeibyvlruxbtc34iq56rkygh4norvsma6zlxld2izw2jedxd6cd26we/AF-Q4ZL10-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBeB220F0B5b0C48F46B5DDd3E3b071BC0827f8D6
First NFT owner address (bech32): 
genesis1h6ezpu94krzg7344mhf78vr3hsyz07xk78k92g
Current NFT ID #532484 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532484
Accession (UniProt):
Q4ZL10
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Pseudomonas syringae pv. syringae (strain B728a)

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 Q4ZL10 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4ZL10|YIDD_PSEU2 Putative membrane protein insertion efficiency factor OS=Pseudomonas syringae pv. syringae (strain B728a) OX=205918 GN=Psyr_5135 PE=3 SV=1 MRKLALVPIQFYRYAISPLMASHCRFYPSCSCYAYEAIENHGLLRGGWLSIRRLGRCHPWNPGGYDPVPAVPTSRSSSMAE