Q8K1K9 Histone H4 transcription factor MolNFT, Molecular NFT on GenesisL1

Histone H4 transcription factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeib6mjleweh2cn4xayf7ylcrxrweqsao2hqssrgs45crhj6mec74f4/metadata.json

IPFS of structure file:

bafybeifj5g7e23k72fnmdk2jk6worn7mf6ypg5ndsdsozsjs2x5f2snmze/AF-Q8K1K9-F1-model_v2.pdb

First NFT owner address (eip-55):

0x69bd3d8B33871a491e7265723C8BA854444ae3eb

First NFT owner address (bech32):

genesis1dx7nmzensudyj8njv4erezag23zy4clty0lc0p

Current NFT ID #169538 owner (web3):

0x97fB385A8D134307905bF518323fcfe213d1d80D

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
169538
Accession (UniProt):
Q8K1K9
Name::
Histone H4 transcription factor
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 Q8K1K9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8K1K9|HINFP_MOUSE Histone H4 transcription factor OS=Mus musculus OX=10090 GN=Hinfp PE=2 SV=3 MSPPGKVPRKENLGLQCEWGSCSFVCSAMEEFFDHVTQHLQQHMHGSKEEEEEDPLEEEFSCLWQECGFCSLDSSADLIRHVYFHCYHTKLKQWGLQALQSQADLSPCILDFQSRNVIPDTPDHFLCLWEHCESVFDNPEWFYRHVDAHSLCCEYQAVSKDNHVVQCGWKGCTCTFKDRCKLREHLRSHTQEKVVACPTCGGMFANNTKFLDHIRRQTSLDQQRFQCSHCSKRFATERLLRDHMRNHVNHYKCPLCDMTCPLPSSLRNHMRFRHSEDRPYKCDCCDYSCKNLIDLRKHLDTHSKESAYRCDFENCNFSARSLSSVKSHHRKVHEGDSEPRYKCHVCDKCFTRGNNLTVHLRKKHQFKWPSGHPRFRYKEHEDGYMRLQLVRYESVELTQQLLQQLQEGSDPGLALNESSLQGIVLETVLGGPGPEEETEEEGRVVEGTALSASQDNPSSAIHMVSQTDTQGQRDIVYCVLSEGPGEPPPVSETLKRDGKARGT

Q8K1K9 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q8K1K9 research and analysis (ICN3D with VR)

FASTA sequences

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