A0KGK4 AF NFT

Multidrug resistance protein MdtH

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic7gtl7pxbyu3ewu4lyyh5zvzfit7ddz4h4m367owaictmbxtf52u/metadata.json
IPFS of structure file: 
bafybeifnbzfk6t7rji7ketnghhvdeme2mj3uyzi6w6hejrb2gdwp62clje/AF-A0KGK4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x651207d00689D88967A8252c7789431a4434F46a
First NFT owner address (bech32): 
genesis1v5fq05qx38vgjeagy5k80z2rrfzrfar2hy2m5x
Current NFT ID #228244 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
228244
Accession (UniProt):
A0KGK4
Name::
Multidrug resistance protein MdtH
Experimental Method:
Predicted structure
Sequence source:
Aeromonas hydrophila subsp. hydrophila (strain ATCC 7966 / DSM 30187 / BCRC 13018 / CCUG 14551 / JCM 1027 / KCTC 2358 / NCIMB 9240 / NCTC 8049)

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 A0KGK4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0KGK4|MDTH_AERHH Multidrug resistance protein MdtH OS=Aeromonas hydrophila subsp. hydrophila (strain ATCC 7966 / DSM 30187 / BCRC 13018 / CCUG 14551 / JCM 1027 / KCTC 2358 / NCIMB 9240 / NCTC 8049) OX=380703 GN=mdtH PE=3 SV=1 MVERARRLGRWFLALDSLLVILGFFVVMPMISLRFVDQLGWAAGVVGLALGLRQLTQQGLGILGGSLADKFGARPLIVGGMLLRAAGFASLAYAQSGLELILSCVISGLGGCLFDPPRAALVIKFTRPRQRGRYISLLMMLESAGAVVGALLGSWLLNFDFEYVCLLGAGLFVCAALCNLLILPAYKLSVRPTPIRAGLGQVLADKAFCRLVLILSGYYALWVQVMLIFPILVKQMAGTTTAVGWMYTLETAISLALLYPLARYGERHFKLESRLMAGVLLMTTGIGLVAFANTLPAVFMLLACFYLGIVIAEPARETLMTKLAQPGARGSYMGFSRLGLALGGMTGYVGGGALHDYAMLQGQPWLPWLVLGTVGVTTLLLLVNCFHREPSLARVNI