Q5R7U7 AF NFT

Dynactin subunit 4

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie35cabbkh5hku3qjrb3kwqkcdl64svxpesuusryfuom67zvgs36y/metadata.json
IPFS of structure file: 
bafybeibi52xv3dxsgj4sctudcificcun7ythzolesompdkmozis7dxf34e/AF-Q5R7U7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x496CaF2B08cCa4D5Bf26e23EDc205f4D74D7bD6b
First NFT owner address (bech32): 
genesis1f9k272cgejjdt0exugldcgzlf46d00tthtyv7j
Current NFT ID #91947 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
91947
Accession (UniProt):
Q5R7U7
Name::
Dynactin subunit 4
Experimental Method:
Predicted structure
Sequence source:
Pongo abelii

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 Q5R7U7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5R7U7|DCTN4_PONAB Dynactin subunit 4 OS=Pongo abelii OX=9601 GN=DCTN4 PE=2 SV=1 MASLLQSDRVVYLVQGEKKVRAPLSQLYFCRYCSELRSLECVSHEVDSHYCPSCLENMPSAEAKLKKNRCANCFDCPGCMHTLSTRATSISTQLPDDPAKTTMKKAYYLACGFCRWTSRDVGMADKSVASGGWQEPENPHTQRMNKLIEYYQQLAQKEKVERDRKKLARRRNYMPLAFSDKYGLGTRLQRPRAGASISTLAGLSLKEGEDQKEIKIEPAQAVDEVEPLPEDYYTRPVNLTEVTTLQQRLLQPDFQPVCASQLYPRHKHLLIKRSLRCRKCEHNLSKPEFNPTSIKFKIQQVAVNYIPEVRIMSIPNLRYMKESQVLLTLTNPVENLTHVTLLECEEGDPDNTNSTAKVVVPPKELVLAGKDAAAEYDELAEPQDFQDDPDIIAFRKANKVGIFIKVTPQREEGEVTVCFKMKHDFKNLAAPIRPIEESDQGTEVIWLTQHVELSLGPLLP