Q1CCJ5 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifa6drsuaw6js3vyt4cdqg7ttvv6h6qxdfzndu3ujotan6seqkiva/metadata.json
IPFS of structure file: 
bafybeiazrjtfixxiq7qrggdtrwdw635ka7vimloa4odqrvxbuehm65kx5i/AF-Q1CCJ5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x650D212bc55D555afec5187BC0cCdFF33c39C025
First NFT owner address (bech32): 
genesis1v5xjz279t4244lk9rpaupnxl7v7rnsp9rhljgx
Current NFT ID #532654 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532654
Accession (UniProt):
Q1CCJ5
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Nepal516)

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 Q1CCJ5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1CCJ5|YIDD_YERPN Putative membrane protein insertion efficiency factor OS=Yersinia pestis bv. Antiqua (strain Nepal516) OX=377628 GN=YPN_3958 PE=3 SV=1 MASPLSPGSRILIGLIRGYQLVISPLLGPRCRFHPTCSHYGIEALRRFGMIKGSWLTLKRVLKCHPLNSGGDDPVPPKLDDNREH