P61472 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigogrykiofa533b3zujvlxohrt5mqsfqasxn5ip2zsj5ulhhqvnai/metadata.json
IPFS of structure file: 
bafybeiez6sxwk3i523caah7h5ginx7mlrzc2vcihxqoui7o25zpcozc65u/AF-P61472-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7a1388B6Aad67B04634A32f63b8A6D6005eab86c
First NFT owner address (bech32): 
genesis10gfc3d426easgc62xtmrhzndvqz74wrv0qh3l8
Current NFT ID #532525 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532525
Accession (UniProt):
P61472
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
SALMONELLA TYPHI

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 P61472 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P61472|YIDD_SALTI Putative membrane protein insertion efficiency factor OS=Salmonella typhi OX=90370 GN=yidD PE=3 SV=1 MAPPLSPGSRVLIALIRVYQRLISPLLGPHCRFTPTCSSYGIEALRRFGVIKGSWLTVKRVLKCHPLHPGGDDPVPPGPFDTREH