Q924Y4 Endothelial transcription factor GATA-2 MolNFT, Molecular NFT on GenesisL1

Endothelial transcription factor GATA-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeiaod3dtg3gvp3wq5k2iipfpzwcl7l7uu2hjbkuj2xjlfm63sa57me/metadata.json

IPFS of structure file:

bafybeibe6pbwu3tw43x337a6ben5s5r67sg37mej3uw4rowjiqp7pgxkny/AF-Q924Y4-F1-model_v2.pdb

First NFT owner address (eip-55):

0xa86d02c20e9C08E0A9e5222b2F3C609cd0C0DC53

First NFT owner address (bech32):

genesis14pks9sswnsywp209yg4j70rqnngvphznlqt2jj

Current NFT ID #141074 owner (web3):

0x7A816d16baC3b20dEBc7EBDBDf668ce411f65C73

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
141074
Accession (UniProt):
Q924Y4
Name::
Endothelial transcription factor GATA-2
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 Q924Y4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q924Y4|GATA2_RAT Endothelial transcription factor GATA-2 OS=Rattus norvegicus OX=10116 GN=Gata2 PE=1 SV=1 MEVAPEQPRWMAHPAVLNAQHPDSHHPGLAHNYMEPAQLLPPDEVDVFFNHLDSQGNPYYANPAHARARVSYSPAHARLTGGQMCRPHLLHSPGLPWLDGGKAALSAAAAHHHSPWTVSPFSKTPLHPSAAGAPGGPLSVYPGAAGGSGGGSGSSVASLTPTAAHSGSHLFGFPPTPPKEVSPDPSTTGAASPASPSAGGSVARGEDKDGVKYQVSLSESMKMEGGSPLRPGLAPMGTQPATHHPIPTYPSYVPASAHEYGSGLFHPGGFLGGPASSFTPKQRSKARSCSEGRECVNCGATATPLWRRDGTGHYLCNACGLYHKMNGQNRPLIKPKRRLSAARRAGTCCANCQTTTTTLWRRNANGDPVCNACGLYYKLHNVNRPLTMKKEGIQTRNRKMSSKSKKSKKGAECFEELSKCMQEKSSPFSAAALAGHMAPVGHLPPFSHSGHILPTPTPIHPSSSLSFGHPHPSSMVTAMG

Q924Y4 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q924Y4 research and analysis (ICN3D with VR)

FASTA sequences

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