Q65H64 AF NFT

Flotillin-like protein FloA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiepcvbi7ok3hcmucazxesfehmq3eh5mmdkn3x3tqia2wk7mao65gi/metadata.json
IPFS of structure file: 
bafybeie6e2eexkcpuwpd2pj7js2ugbcyeyzlnqcwvw2z3wowtc4qkvt6ve/AF-Q65H64-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x024E776336F8eD4B2eC1b7523E5a42EABB50f840
First NFT owner address (bech32): 
genesis1qf88wceklrk5ktkpkafrukjza2a4p7zq8hrfxt
Current NFT ID #132641 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
132641
Accession (UniProt):
Q65H64
Name::
Flotillin-like protein FloA
Experimental Method:
Predicted structure
Sequence source:
Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46)

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 Q65H64 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65H64|FLOA_BACLD Flotillin-like protein FloA OS=Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46) OX=279010 GN=floA PE=3 SV=1 MDPSTLFLLLIIAAGIILLAVFFTFVPVMLWISALAAGVKISIFTLIGMRLRRVIPNRVVNPLIKAHKAGLDVAINQLESHYLAGGNVDRVVNALIAAQRANIELTFARCAAIDLAGRDVLEAVQMSVNPKVIETPFIAGVAMDGIEVKAKARITVRANIDRLVGGAGEETIIARVGEGIVSTIGSSDNHKKVLENPDMISQTVLSKGLDSGTAFEILSIDIADVDIGKNIGAILQTDQAEADKNIAQAKAEERRAMAVAQEQEMRARVEEMRAKVVEAEAEVPLAMSEALRSGKIGVMDYLNMKNIDADTDMRDSFGKMTKDQNEEDHK