Q99002 AF NFT

14-3-3 protein homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibk2xpuhp5sofd6a2mr7ck6hij4fw7patt52i3yyrdvocyykorfca/metadata.json
IPFS of structure file: 
bafybeifvnkgnzwt5ygenifnclnqbeoh4mq6zjzaqoth245hjng4afeye24/AF-Q99002-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xcAa44603fE313a333295B51d0d140fD2a2fB5637
First NFT owner address (bech32): 
genesis1e2jyvql7xyarxv54k5ws69q06230k43hue6sje
Current NFT ID #152 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
152
Accession (UniProt):
Q99002
Name::
14-3-3 protein homolog
Experimental Method:
Predicted structure
Sequence source:
TRICHODERMA HARZIANUM

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 Q99002 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q99002|1433_TRIHA 14-3-3 protein homolog OS=Trichoderma harzianum OX=5544 PE=2 SV=1 MGHEDAVYLAKLAEQAERYEEMVENMKIVASEDRDLTVEERNLLSVAYKNVIGARRASWRIVTSIEQKEESKGNSSQVTLIKEYRQKIENELAKICDDILEVLDQHLIPSAKSGESKVFYHKIKGDYHRYLAEFAIGDRRKDSADKSLEAYKAATEVAQTELPPTHPIRLGLALNFSVFYYEILNAPDQACHLAKQAFDDAIAELDTLSEESYKDSTLIMQLLRDNLTLWTSSEAETPARLMPLLRRRPLLRLPSRRRRAQG