A3PNA8 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifioxb3u6zj7n44szf7zo3jx636xfftfw3jyhcf4eeqcepu6bltha/metadata.json
IPFS of structure file: 
bafybeiemjmfr2azgpm4qae3czlgqtcehlomcqqamtiopbkqu7nwznpkg4u/AF-A3PNA8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x03462006ba7Fad9B53b009AA08d27577e18e3878
First NFT owner address (bech32): 
genesis1qdrzqp4607kek5aspx4q35n4wlscuwrcwvy48j
Current NFT ID #532254 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532254
Accession (UniProt):
A3PNA8
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Cereibacter sphaeroides (strain ATCC 17029 / ATH 2.4.9)

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 A3PNA8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A3PNA8|YIDD_CERS1 Putative membrane protein insertion efficiency factor OS=Cereibacter sphaeroides (strain ATCC 17029 / ATH 2.4.9) OX=349101 GN=Rsph17029_2722 PE=3 SV=1 MSPLAQVLALPVRAYRLLLSPWVGHGCRYQPTCSVYALDALERHGALKGGWLAARRILSCHPWGGSGYDPVPGADPEHDRRPRG