Q6U6G5 Zinc finger CCCH domain-containing protein 15 MolNFT, Molecular NFT on GenesisL1

Zinc finger CCCH domain-containing protein 15

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeib5vzhiogqrqn26imsars6qbyzjjd7l5stqcqpmt7auguros5bq3q/metadata.json

IPFS of structure file:

bafybeidynt72in3fbakfdixcwh2wtzu37rxdmhpprpmpwz6u32ycpjg33q/AF-Q6U6G5-F1-model_v2.pdb

First NFT owner address (eip-55):

0xCB7D2d3690111d20A766Df22f10aB165316f8A24

First NFT owner address (bech32):

genesis1ed7j6d5szywjpfmxmu30zz43v5cklz3yfae77v

Current NFT ID #540031 owner (web3):

0xcF3444A9d2FD68005aA0248bc2E47C278EDb79C8

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
540031
Accession (UniProt):
Q6U6G5
Name::
Zinc finger CCCH domain-containing protein 15
Experimental Method:
Predicted structure
Sequence source:
RATTUS NORVEGICUS

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 Q6U6G5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6U6G5|ZC3HF_RAT Zinc finger CCCH domain-containing protein 15 OS=Rattus norvegicus OX=10116 GN=Zc3h15 PE=1 SV=1 MPPKKQAQAGGSKKAEQKKKEKIIEDKTFGLKNKKGAKQQKFIKAVTHQVKFGQQNPRQVAQSEAEKKLKKDDKKKELQELNELFKPVVAAQKISKGADPKSVVCAFFKQGQCTKGDKCKFSHDLTLERKCEKRSVYIDARDEELEKDTMDNWDEKKLEEVVNKKHGEAEKKKPKTQIVCRHFLEAIENNKYGWFWVCPGGGDNCMYRHALPPGFVLKKDKKKEEKEDEISLEDLIERERSALGPNVTKITLESFLAWKKRKRQEKIDKLEQDMERRKADFKAGKALVISGREVFEFRPELVNDDDEEADDTRYIQGTGGDEVDDSVGVNDIDLSLYVPRDVEETGITVASLERFSTYASDKDENKLSEASGGLAENGERSDLDEDSGGGGQENGSIDAVPVDENLFTGEDLDELEEELNTLDLEE

Q6U6G5 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q6U6G5 research and analysis (ICN3D with VR)

FASTA sequences

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