Q502J7 AF NFT

Dynactin subunit 6

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidnda2c7mbnu7xdbc6twy2y6nc2tl5guenvvw3ddik6szxo3biy64/metadata.json
IPFS of structure file: 
bafybeibborgtntvt3v2v2awrnri6m57p7hb5emxsfdipafg4vgsxgtuo6y/AF-Q502J7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x75B24D2B0e9632594da11Dd7fB5CA6a718195Fd6
First NFT owner address (bech32): 
genesis1wkey62cwjce9jndprhtlkh9x5uvpjh7keg6wg5
Current NFT ID #91956 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
91956
Accession (UniProt):
Q502J7
Name::
Dynactin subunit 6
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q502J7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q502J7|DCTN6_DANRE Dynactin subunit 6 OS=Danio rerio OX=7955 GN=dctn6 PE=2 SV=1 MADPSAKQTGQKSVKIAAGAVVCVESDIRGDVTIGARTVVHPKARIIAEAGPIVIGEGNLIEEQALIINSFPENLLPNTDDVEPKPMIIGVNNVFEVGCVCQALKIGDNNVIESKADVGRSVMLTSGCIVGSCCQIHTCEVIPENTVIYGSECLRRVQTERPQPQTLQLDFLMKILPNYHHLKKTVKSSGTPARS