A0QND3 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiayia63rbkra7kuzxsfxlh2vewgbr32tqzklhqrvr7i7xivvxzrlm/metadata.json
IPFS of structure file: 
bafybeigv6amf26uu4qway6vj6w7wbb5hfd2cl3nszgjy4dnmctytd2tu2e/AF-A0QND3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x362a6d063b1B7E1B6EfD3A9A7CA3612e3FE037AA
First NFT owner address (bech32): 
genesis1xc4x6p3mrdlpkmha82d8egmp9cl7qda2uxz2xy
Current NFT ID #532420 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532420
Accession (UniProt):
A0QND3
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM AVIUM (STRAIN 104)

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 A0QND3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0QND3|YIDD_MYCA1 Putative membrane protein insertion efficiency factor OS=Mycobacterium avium (strain 104) OX=243243 GN=MAV_5311 PE=3 SV=1 MTGPARSGAAIRGAGRTVARGLIFLIQLYRHMVSPLRPATCRFVPTCSQYAVDALDEYGLIRGSWLAAARLTKCGPWHQGGWDPIPERPGCRVNCQDASDAWAVRATRGESGSLV