Q2IHR6 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih5awil7ppd75wiefgvbg62ekt44p3lejpqebao423nqm4ug65bsq/metadata.json
IPFS of structure file: 
bafybeics37xx5fm3ls7ef4vbc6u2j7a6wmvo6npak7hheb3dn75l5l5bxq/AF-Q2IHR6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xEa58c7534E5701aA8370E0fAEb19b7e14653e69c
First NFT owner address (bech32): 
genesis1afvvw56w2uq64qmsurawkxdhu9r98e5uajuhsx
Current NFT ID #532171 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532171
Accession (UniProt):
Q2IHR6
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Anaeromyxobacter dehalogenans (strain 2CP-C)

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 Q2IHR6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2IHR6|YIDD_ANADE Putative membrane protein insertion efficiency factor OS=Anaeromyxobacter dehalogenans (strain 2CP-C) OX=290397 GN=Adeh_4359 PE=3 SV=1 MIRRALVLLVRIYQRLVSPLLPPACRFYPSCSAYAVTALQRHGALRGSWLTVRRLCRCHPFHPGGVDPVPELTPKR