Q62520

Zinc finger protein ZIC 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeigq7omazzfzd6krqq6lodr36cwydt5wi4vwautyflzmitpx3w3vui/metadata.json

IPFS of structure file:

bafybeibzmbtkrzqucpigeoqybhqyhgcqsofauleot62cwiv2jhlbdkiria/AF-Q62520-F1-model_v2.pdb

First NFT owner address (eip-55):

0x7782F4817b37743d738e9aF842bf74bd50f2015E

First NFT owner address (bech32):

genesis1w7p0fqtmxa6r6uuwntuy90m5h4g0yq27nqe34a

Current NFT ID #540607 owner (web3):

0x7782F4817b37743d738e9aF842bf74bd50f2015E

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
540607
Accession (UniProt):
Q62520
Name::
Zinc finger protein ZIC 2
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 Q62520 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q62520|ZIC2_MOUSE Zinc finger protein ZIC 2 OS=Mus musculus OX=10090 GN=Zic2 PE=1 SV=2 MLLDAGPQFPAIGVGSFARHHHHSAAAAAAAAAEMQDRELSLAAAQNGFVDSAAAHMGAFKLNPGAHELSPGQSSAFTSQGPGAYPGSAAAAAAAAALGPHAAHVGSYSGPPFNSTRDFLFRSRGFGDSAPGGGQHGLFGPGAGGLHHAHSDAQGHLLFPGLPPEQHGPHASQNVLNGQMRLGLPGEVFGRSEQYRQVASPRTDPYSAAQLHNQYGPMNMNMGMNMAAAAAHHHHHHHHPGAFFRYMRQQCIKQELICKWIDPEQLSNPKKSCNKTFSTMHELVTHVSVEHVGGPEQSNHVCFWEECPREGKPFKAKYKLVNHIRVHTGEKPFPCPFPGCGKVFARSENLKIHKRTHTGEKPFQCEFEGCDRRFANSSDRKKHMHVHTSDKPYLCKMCDKSYTHPSSLRKHMKVHESSPQGSESSPAASSGYESSTPPGLVSPSAEPQSSSNLSPAAAAAAAAAAAAAAAVSAVHRGAGSGSSGSGGGSAAGSGGGGGGAGGGGGGSSGGGSGTTGGHSGLSSNFNEWYV

Q62520 AF NFT

MOLNFT AF v1_w

NFT data

MOLNFT Q62520 research and analysis (ICN3D with VR)

FASTA sequences

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