Q65VC1 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig4uyhs6qgc26xbbbgsonzruxxxwhf5nggqdalvxccpylryplftdu/metadata.json
IPFS of structure file: 
bafybeignflk6ngybwu7bnerpq4ikasdz7myiofa5d6nn4c4caesbsfgycm/AF-Q65VC1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x779b368283e79942739fEb126753AC2b434CE90e
First NFT owner address (bech32): 
genesis1w7dndq5ru7v5yuulavfxw5av9dp5e6gwcymwmf
Current NFT ID #532410 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532410
Accession (UniProt):
Q65VC1
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
MANNHEIMIA SUCCINICIPRODUCENS (STRAIN MBEL55E)

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 Q65VC1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65VC1|YIDD_MANSM Putative membrane protein insertion efficiency factor OS=Mannheimia succiniciproducens (strain MBEL55E) OX=221988 GN=MS0482 PE=3 SV=2 MATSHSLGEKILVKLIRFYQLAISPMIGPRCRFTPTCSCYGIEAIKTHGALKGSWLTLKRILKCHPLSKGGYDPVPPKINNNVEKK