A9G6D9 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiblgbgqt3v5htkaytmgqzbv2nq7fronsdjmut7xiyp3jz43zakqwq/metadata.json
IPFS of structure file: 
bafybeiczv2qbo2njkup3k3kw3xaqnnwohk7cgzrfgqqnljt6kbwktmn32u/AF-A9G6D9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0D3f973941DB9ad80F3A1541fe23482e820dc1DD
First NFT owner address (bech32): 
genesis1p5leww2pmwddsre6z4qlug6g96pqmswa9kyt9e
Current NFT ID #532551 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532551
Accession (UniProt):
A9G6D9
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
SORANGIUM CELLULOSUM (STRAIN SO CE56)

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 A9G6D9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9G6D9|YIDD_SORC5 Putative membrane protein insertion efficiency factor OS=Sorangium cellulosum (strain So ce56) OX=448385 GN=sce2521 PE=3 SV=1 MLATLLLALIRAYQMTLSRLIVALMGPVCRFEPSCSRYAAACIVDHGALRGSLLSLKRLCRCHPFHPGGFDPPPPPRLHRAAAARMPRQRDADPRDTTRCSSTGAELASHASSPCRAGFSGRVTLMD