Q567C6 AF NFT

Zinc finger protein 367

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeigc2w577bemksuacz6cu5xjnhsx7ltttxv34li4tbe2izsx5kmnte/metadata.json

IPFS of structure file:

bafybeibd3a65vnpis6hv5xzuj5nqt5plx7kh5ot2zc7dsno2ummvtq7bry/AF-Q567C6-F1-model_v2.pdb

First NFT owner address (eip-55):

0x9e5E98E011361C5888c92e2CDb7652E02Bd5C7Ed

First NFT owner address (bech32):

genesis1ne0f3cq3xcw93zxf9ckdkajjuq4at3ldwq49kv

Current NFT ID #541092 owner (web3):

0x9e5E98E011361C5888c92e2CDb7652E02Bd5C7Ed

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
541092
Accession (UniProt):
Q567C6
Name::
Zinc finger protein 367
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 Q567C6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q567C6|ZN367_DANRE Zinc finger protein 367 OS=Danio rerio OX=7955 GN=znf367 PE=2 SV=1 MADSKHQVIFCNDSPKRVLVSVIKTTPIKPRTTADSLMPTSPGFSDFMVYPWRWGENAHNVTLGPGSGSGAASPTRTSSSPAEADPLSCPEHLKDGIRRGRPRADTVRELINEGENSTSRIRCNICNRVFPREKSLQAHKRTHTGERPYLCDYPDCGKAFVQSGQLKTHQRLHTGEKPFVCSEKACGSRFTHANRHCAKHPYARLKREEPTGGPGKSQGADNKAVAEWLTKYWQTREQRSPVPGKAKPQNKSPLEDQEQQDPLDFLPSDEGEEEEQEEEKNAPSGGVVTARRRLQEQRERLHGALALIELANNLSA

MOLNFT AF v1_w

NFT data

MOLNFT Q567C6 research and analysis (ICN3D with VR)

FASTA sequences

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