A6VR62 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib4onqwarchgxtwd3cnmnjxcau76mnlo2ofnetjlp42rwynv63d2m/metadata.json
IPFS of structure file: 
bafybeignhpjarobdqfb35maqk7awqnl7v64pcpuahytlgktwopz5x77mxy/AF-A6VR62-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x52Af21eE47b292Ffe1FB3cF21692083152a4766A
First NFT owner address (bech32): 
genesis122hjrmj8k2f0lc0m8nepdysgx9f2gan2ypqkrm
Current NFT ID #532160 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532160
Accession (UniProt):
A6VR62
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Actinobacillus succinogenes (strain ATCC 55618 / DSM 22257 / CCUG 43843 / 130Z)

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 A6VR62 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A6VR62|YIDD_ACTSZ Putative membrane protein insertion efficiency factor OS=Actinobacillus succinogenes (strain ATCC 55618 / DSM 22257 / CCUG 43843 / 130Z) OX=339671 GN=Asuc_2115 PE=3 SV=1 MAASHSLGEKILIKLIRFYQIVISPLIGPRCRFVPTCSCYGLEAIKTHGAVRGAWLTLKRILKCHPLNAGGYDPVPPKSDNHSKENKK