Q24246 AF NFT

Cytoplasmic dynein 1 intermediate chain

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicrt4mgk5pyh3cabe2fjrjcom67qeewcxdh6pw73mflqnp4o537ye/metadata.json
IPFS of structure file: 
bafybeiazay6oxunufz74ux7eils6elaonfazelkwirnm2zazccssfy7byq/AF-Q24246-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4Ea5fCC25611AAa9B10a72a49dC4816Fe9839C7f
First NFT owner address (bech32): 
genesis1f6jlesjkzx42nvg2w2jfm3ypdl5c88rld6thdw
Current NFT ID #108600 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
108600
Accession (UniProt):
Q24246
Name::
Cytoplasmic dynein 1 intermediate chain
Experimental Method:
Predicted structure
Sequence source:
DROSOPHILA MELANOGASTER

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 Q24246 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q24246|DYIN_DROME Cytoplasmic dynein 1 intermediate chain OS=Drosophila melanogaster OX=7227 GN=sw PE=1 SV=3 MDRKAELERKKAKLAALREEKDRRRREKEIKDMEEAAGRIGGGAGIDKDQRKDLDEMLSSLGVAPVSEVLSSLSSVNSMTSDNSNTQTPDASLQATVNGQSGGKKQPLNLSVYNVQATNIPPKETLVYTKQTQTTSTGGGNGDVLSCHSSPLSGYMEDWWRPRKAHATDYYDEYNLNPGLEWEDEFTDDEESSLQNLGNGFTSKLPPGYLTHGLPTVKDVAPAITPLEIKKETEVKKEVNELSEEQKQMIILSENFQRFVVRAGRVIERALSENVDIYTDYIGGGDSEEANDERSHARLSLNRVFYDERWSKNRCITSMDWSTHFPELVVGSYHNNEESPNEPDGVVMVWNTKFKKSTPEDVFHCQSAVMSTCFAKFNPNLILGGTYSGQIVLWDNRVQKRTPIQRTPLSAAAHTHPVYCLQMVGTQNAHNVISISSDGKLCSWSLDMLSQPQDTLELQQRQSKAIAITSMAFPANEINSLVMGSEDGYVYSASRHGLRSGVNEVYERHLGPITGISTHYNQLSPDFGHLFLTSSIDWTIKLWSLKDTKPLYSFEDNSDYVMDVAWSPVHPALFAAVDGSGRLDLWNLNQDTEVPTASIVVAGAPALNRVSWTPSGLHVCIGDEAGKLYVYDVAENLAQPSRDEWSRFNTHLSEIKMNQSDEV