A3QJT2 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih4hs7n6g7pkqcwmruivxqwifju7vrw6g5wmadv2w6pxxche7l5xi/metadata.json
IPFS of structure file: 
bafybeih7eefufmy2z6o7skeyg7rxtntavsaatycnkvwsgdknqj3p6trrey/AF-A3QJT2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x655E68DE706FB688fD0caB2F52eEf807C7bc553a
First NFT owner address (bech32): 
genesis1v40x3hnsd7mg3lgv4vh49mhcqlrmc4f69kllss
Current NFT ID #532536 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532536
Accession (UniProt):
A3QJT2
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Shewanella loihica (strain ATCC BAA-1088 / PV-4)

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 A3QJT2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A3QJT2|YIDD_SHELP Putative membrane protein insertion efficiency factor OS=Shewanella loihica (strain ATCC BAA-1088 / PV-4) OX=323850 GN=Shew_3867 PE=3 SV=1 MAQAQSPLQWLATKLIRGYQIFISPILGPKCRFHPTCSNYALEAIRLHGFVKGSWFAGKRVLKCHPLHPGGEDPVPPKNNRCNK