P16372 Zinc finger protein 58 MolNFT, Molecular NFT on GenesisL1

Zinc finger protein 58

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeidmxm5nia7ilau2ntdais6lro4wt4a5w5zw3bz3vm4mgmdvvvm5jm/metadata.json

IPFS of structure file:

bafybeiekt7iqojn7ujku7grtphvrenzhm633wkezo2lsbp4qitf2fqznoq/AF-P16372-F1-model_v2.pdb

First NFT owner address (eip-55):

0x4d07E6a23DeB6B95bd9b90EcB67368b7e8D3B77e

First NFT owner address (bech32):

genesis1f5r7dg3aad4et0vmjrktvumgkl5d8dm7pxdzfr

Current NFT ID #540398 owner (web3):

0x4d07E6a23DeB6B95bd9b90EcB67368b7e8D3B77e

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
540398
Accession (UniProt):
P16372
Name::
Zinc finger protein 58
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 P16372 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P16372|ZFP58_MOUSE Zinc finger protein 58 OS=Mus musculus OX=10090 GN=Zfp58 PE=2 SV=2 MLSFWDVAIDFSPEERECLEPDQWDLYRDVMLENYSHLDFLGLALSKPFLVTFLEQRQGPWDVKRQAAAAVHPGKTVNKCKDFSKAFFCKSLLTQHQRIRTGEKAFKCEECGKAFNNRSNLSEHKRIHTGEKPYKCEECGKAFRIRSKLSTHQRVHTGEKPYKCEECGKAFNSHSNLSEHKRIHTGEKPYKCEECGKAFSTRSTYYRHQKNHTGKKPYKCEECAKEFSYPSLLKVHQRIHSAEKSYKCEECGKPFYCPLLLKKHQIIHSAEKPYKCAECGKAFHYPSLLKRHQRIHAGKKPCKCKDCDRAFYSSAFLKRHQRIHSEENSYKCGECGKRFCSFPHLQYHQRFHSGEKPYKCEQCGKTFSTLSYLPWHKLRHSGEKSYKCEKCGKMFYSTLDLKKHQKIHEYKCGECHYGFPNYAALTAHQRVHTGEKPHVCEQCGKDFSRIDSLNQHQLVHTGEKPYKCEKCGKCFYRSSSLKRHQGIHS

P16372 AF NFT

MOLNFT AF v1

NFT data

MOLNFT P16372 research and analysis (ICN3D with VR)

FASTA sequences

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