A4TSL2 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicbfsjkb4jfgdc2iwlaxl7bosbrimu62nbyp5bemforbxonqmffua/metadata.json
IPFS of structure file: 
bafybeignkgwbiprqat55rzkngubiyfrwpwua5qxxy5yznchavwg7ufyity/AF-A4TSL2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x45Cc4E901551CC0fC7f2b9639B947e1B7094C7F3
First NFT owner address (bech32): 
genesis1ghxyayq428xql3ljh93eh9r7rdcff3ln7rzw3t
Current NFT ID #532655 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532655
Accession (UniProt):
A4TSL2
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis (strain Pestoides F)

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 A4TSL2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A4TSL2|YIDD_YERPP Putative membrane protein insertion efficiency factor OS=Yersinia pestis (strain Pestoides F) OX=386656 GN=YPDSF_3933 PE=3 SV=1 MASPLSPGSRILIGLIRGYQLVISPLLGPRCRFHPTCSHYGIEALRRFGMIKGSWLTLKRVLKCHPLNSGGDDPVPPKLDDNREH