A3DAS9 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifa3ss6pke3b3u7ypqjwdqhesl5tfb36it5o5i5i57iyppmldqk3a/metadata.json
IPFS of structure file: 
bafybeifc3f77cy4p54dv4af3xovow337epufahgsmeyopvrjnlbhj7zcjy/AF-A3DAS9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb0C4A94B80C0c8A38C5aE5637b6663aC73C048F3
First NFT owner address (bech32): 
genesis1krz2jjuqcry28rz6u43hkenr43euqj8nmyr38j
Current NFT ID #532530 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532530
Accession (UniProt):
A3DAS9
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Shewanella baltica (strain OS155 / ATCC BAA-1091)

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 A3DAS9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A3DAS9|YIDD_SHEB5 Putative membrane protein insertion efficiency factor OS=Shewanella baltica (strain OS155 / ATCC BAA-1091) OX=325240 GN=Sbal_4381 PE=3 SV=1 MAQTQSPLQWLATTLIRGYQVFISPILGPRCRFNPTCSHYAIEAIKVHGTAKGCWFALKRILKCHPLHPGGSDPVPPKNDRCNK