Q9LHD1 ABC transporter B family member 15 MolNFT, Molecular NFT on GenesisL1

ABC transporter B family member 15

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeihrci5wi6v2f3soid442gx2d55o2zxxjptuzio5dcjlo7xbtqy3ya/metadata.json

IPFS of structure file:

bafybeiajed66cnlzt7iozwph76m43cwngtnriupayowxxx4fuiv62dsima/AF-Q9LHD1-F1-model_v2.pdb

First NFT owner address (eip-55):

0x779b368283e79942739fEb126753AC2b434CE90e

First NFT owner address (bech32):

genesis1w7dndq5ru7v5yuulavfxw5av9dp5e6gwcymwmf

Current NFT ID #3131 owner (web3):

0xb9791857C9582e6dd746C06c66b913e613E9426D

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
3131
Accession (UniProt):
Q9LHD1
Name::
ABC transporter B family member 15
Experimental Method:
Predicted structure
Sequence source:
ARABIDOPSIS THALIANA

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 Q9LHD1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9LHD1|AB15B_ARATH ABC transporter B family member 15 OS=Arabidopsis thaliana OX=3702 GN=ABCB15 PE=3 SV=1 MGKEEEKESGRNKMNCFGSVRSIFMHADGVDWLLMGLGLIGAVGDGFTTPLVLLITSKLMNNIGGSSFNTDTFMQSISKNSVALLYVACGSWVVCFLEGYCWTRTGERQTARMREKYLRAVLRQDVGYFDLHVTSTSDVITSVSSDSFVIQDVLSEKLPNFLMSASTFVGSYIVGFILLWRLAIVGLPFIVLLVIPGLMYGRALISISRKIREEYNEAGFVAEQAISSVRTVYAFSGERKTISKFSTALQGSVKLGIKQGLAKGITIGSNGITFAMWGFMSWYGSRMVMYHGAQGGTVFAVAAAIAIGGVSLGGGLSNLKYFFEAASVGERIMEVINRVPKIDSDNPDGHKLEKIRGEVEFKNVKFVYPSRLETSIFDDFCLRVPSGKTVALVGGSGSGKSTVISLLQRFYDPLAGEILIDGVSIDKLQVKWLRSQMGLVSQEPALFATTIKENILFGKEDASMDDVVEAAKASNAHNFISQLPNGYETQVGERGVQMSGGQKQRIAIARAIIKSPTILLLDEATSALDSESERVVQEALENASIGRTTILIAHRLSTIRNADVISVVKNGHIVETGSHDELMENIDGQYSTLVHLQQIEKQDINVSVKIGPISDPSKDIRNSSRVSTLSRSSSANSVTGPSTIKNLSEDNKPQLPSFKRLLAMNLPEWKQALYGCISATLFGAIQPAYAYSLGSMVSVYFLTSHDEIKEKTRIYALSFVGLAVLSFLINISQHYNFAYMGEYLTKRIRERMLSKVLTFEVGWFDRDENSSGAICSRLAKDANVVRSLVGDRMALVVQTVSAVTIAFTMGLVIAWRLALVMIAVQPVIIVCFYTRRVLLKSMSKKAIKAQDESSKLAAEAVSNVRTITAFSSQERIMKMLEKAQESPRRESIRQSWFAGFGLAMSQSLTSCTWALDFWYGGRLIQDGYITAKALFETFMILVSTGRVIADAGSMTTDLAKGSDAVGSVFAVLDRYTSIDPEDPDGYETERITGQVEFLDVDFSYPTRPDVIIFKNFSIKIEEGKSTAIVGPSGSGKSTIIGLIERFYDPLKGIVKIDGRDIRSYHLRSLRRHIALVSQEPTLFAGTIRENIIYGGVSDKIDEAEIIEAAKAANAHDFITSLTEGYDTYCGDRGVQLSGGQKQRIAIARAVLKNPSVLLLDEATSALDSQSERVVQDALERVMVGRTSVVIAHRLSTIQNCDAIAVLDKGKLVERGTHSSLLSKGPTGIYFSLVSLQTTSG

Q9LHD1 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q9LHD1 research and analysis (ICN3D with VR)

FASTA sequences

We use cookies on this site to enhance your user experience