Q6NWE1 AF NFT

PHD finger protein 10

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiehdv537wcbvcdfebzgr2ygiwrqs55kprmtrr7mgx3nw3rmniiz3i/metadata.json
IPFS of structure file: 
bafybeiavzfm35pcll7f23i25b7diyoxgaxfajfgvvgmxckr7fd2cfhcy3m/AF-Q6NWE1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBeB220F0B5b0C48F46B5DDd3E3b071BC0827f8D6
First NFT owner address (bech32): 
genesis1h6ezpu94krzg7344mhf78vr3hsyz07xk78k92g
Current NFT ID #297754 owner (web3): 

0x570223B6645226588372Fd044195007001f1EB3A

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
297754
Accession (UniProt):
Q6NWE1
Name::
PHD finger protein 10
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q6NWE1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6NWE1|PHF10_DANRE PHD finger protein 10 OS=Danio rerio OX=7955 GN=phf10 PE=2 SV=2 MAAVLSPRPCDSNPATPGTQSIKDDIEENSSDGSQAPKRRRMGSGDSSRSCDTSTHELGPTYFPAENLTEYKWPPDDTGEYYMLQEQVSEYLGVTSFKRKYPEMERRDLSHKEKLYLREQNVITETQCTLGLTALRSDEVIDLMIKEYPAKHAEYSVILQERERQRITKEYNVSTLSVQMQQQNPQKVEASKVPEYIKKAAKKAAEFNSNFNRERMEERRAYFDLQTHIIQVPQGKYKILPPERTKTGPFPVALIPGQFQEYYKRYSPNELRYLPLNTALFEPPLDPELPALDSDGDSDDGDDGKEDGKKNKGSSDSSSGNTSDGDSQDSGIHSKVKSKDRPGAQGKDGTPRSIQHKSVPGYKPKVIPNAICGICQKGKEANKRGKPEALIHCSQCQNSGHPSCLDMSVDLVAKIKMYPWQCMECKTCTVCQQPHHEEEMMFCDKCDRGFHTFCVGMDSIPMGCWVCDLCSKDISTPQKKGQTKTPKKAK

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