A7HLV5 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif5b34g43jfr2suxif6lm66krcrwd4qwdfzhppaxpemkwnm55s2ay/metadata.json
IPFS of structure file: 
bafybeig4qo773374ureahpfkbutpj7tjbpygtzgglgqig2b4c5iftu7pyq/AF-A7HLV5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9F605311B7e26e76340423EfAfbE5e2EFc7A0b7C
First NFT owner address (bech32): 
genesis1nas9xydhufh8vdqyy0h6l0j79m785zmurgry0u
Current NFT ID #532340 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532340
Accession (UniProt):
A7HLV5
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Fervidobacterium nodosum (strain ATCC 35602 / DSM 5306 / Rt17-B1)

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 A7HLV5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7HLV5|YIDD_FERNB Putative membrane protein insertion efficiency factor OS=Fervidobacterium nodosum (strain ATCC 35602 / DSM 5306 / Rt17-B1) OX=381764 GN=Fnod_1039 PE=3 SV=1 MRKVILKLIRFYQKYISPLKPPTCRFEPTCSTYTYQAVERFGILKGLLLGFWRVLRCNPISKGGHDPVPTEFYLFKKSNNSLRRR