Q66J30 AF NFT

Dynactin subunit 2-A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeienwpxjizghopfo24g5tkl43unfaka5rtdoottkacnm2mrmm3mnte/metadata.json
IPFS of structure file: 
bafybeiae4kzfg5seak36cmvse2tlcj2fkfv6klkazwp4patwpb3qyzxjee/AF-Q66J30-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD6A98f927f864801eaEb183b8A5D2e2E592AaFb4
First NFT owner address (bech32): 
genesis1665clynlseyqr6htrqac5hfw9evj4ta53d2cnl
Current NFT ID #91719 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
91719
Accession (UniProt):
Q66J30
Name::
Dynactin subunit 2-A
Experimental Method:
Predicted structure
Sequence source:
XENOPUS LAEVIS

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 Q66J30 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q66J30|DCT2A_XENLA Dynactin subunit 2-A OS=Xenopus laevis OX=8355 GN=dctn2-a PE=2 SV=1 MADPKYADLPGIARNEPDVYETSDLPEDDQAEFDAEELTSTSVEHIIVNPNAAYDKFKDKKVGTRSLDFSDRITKSKRTGYESGEYEILGEGIGMKETPQQKYQRLLHEVQELTQEVEKTQSTVKESAAEEKLTPVALAKQVASLKQQLVSTHLEKLLGPDAAINLTDPDGALAKRLLTQLDAAKTRKNPEGKSPAKGPGPDTENLVTYELHCRPEQNKFSQAAKMAELEKRLGELEVAVRCDQDTQNPLTVGLQGSCLMDTVEILQAKVNLLDVASLDQVEARLQSVLGKMNEIAKHKAAIEDADTESKVHQLYETVQKWDSMSGTLPQVVQRLLTLKQLHEQAMQFGQLLTHLDTTQQMIANSLKDNTNALAMVQKAMKENLATVEDNFSNIDGRIKKLSK