Q9D113 AF NFT

DNL-type zinc finger protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigcwrkuk7fbc3xkvhuwtjqk52rqtpkkzmpoqhfpy4uwcmh3exq5eq/metadata.json
IPFS of structure file: 
bafybeidwbeto7bribsdqy4o6b74p34gewcz7diphvmbzanoyspoewqtacy/AF-Q9D113-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xFe308e213eB9385b3306741098D0628AB843a2D5
First NFT owner address (bech32): 
genesis1lccgugf7hyu9kvcxwsgf35rz32uy8gk4c3hkc9
Current NFT ID #102991 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
102991
Accession (UniProt):
Q9D113
Name::
DNL-type zinc finger protein
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q9D113 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9D113|DNLZ_MOUSE DNL-type zinc finger protein OS=Mus musculus OX=10090 GN=Dnlz PE=1 SV=1 MLRTALSRMPTLLRSVRTRDSGPRRLWDLGARLKTAERLRGWAWGWASGWRSSSSAPGSGRAAALGRVEADHYQLVYTCKVCGTRSSKRISKLAYHQGVVIVTCPGCQNHHIIADNLSWFSDLKGKRNIEEILAARGEEVRRVSGDGALELILEAAVPPDTPEGDEDPPNPGKMGQS