Q64X50 AF NFT

Flotillin-like protein FloA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihmqmludzxgzdojpqrra5wbvby5yjxcohm5cxkcgzrmf4bsoxj3dm/metadata.json
IPFS of structure file: 
bafybeidqe75nqpvgmsltseoohoh2uyee2pthtgauoyyqezux47dek2fou4/AF-Q64X50-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd6dAC69607350B6653b5aBcE7c26e6D0Da978570
First NFT owner address (bech32): 
genesis16mdvd9s8x59kv5a44088cfhx6rdf0pts9ha0pc
Current NFT ID #132640 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
132640
Accession (UniProt):
Q64X50
Name::
Flotillin-like protein FloA
Experimental Method:
Predicted structure
Sequence source:
Bacteroides fragilis (strain YCH46)

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 Q64X50 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q64X50|FLOA_BACFR Flotillin-like protein FloA OS=Bacteroides fragilis (strain YCH46) OX=295405 GN=floA PE=3 SV=1 MNVEPMYLTIFLIAGGIIFLVLFFHYVPFFLWLSAKVSGVNISLVQLFLMRIRNVPPYIIVPGMIEAHKAGLSNITRDELEAHYLAGGHVERVVHALVSASKANIELPFQMATAIDLAGRDVFEAVQMSVNPKVIDTPPVTAVAKDGIQLIAKARVTVRANIRQLVGGAGEDTILARVGEGIVSSIGSSENHKSVLENPDSISKLVLRKGLDAGTAFEILSIDIADIDIGKNIGAALQIDQANADKNIAQAKAEERRAMAVATEQEMKAKAEEARANVIQAEAEVPKAMAEAFRSGNLGIMDYYKMKNIQADTSMRENIAKPIGGATSKPLSD