P61982 AF NFT

14-3-3 protein gamma

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig3j7ozycad3t4xgch5dw2osp7s7hje5dmllco22zxk3d34orjscu/metadata.json
IPFS of structure file: 
bafybeid35gozj22bdzrkqy247n2flcvzfx5bv2obo573mautwmvsog74ny/AF-P61982-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xe76d1Ea3BEE8E6A3aa098D4b8B154149F9d69310
First NFT owner address (bech32): 
genesis1uak3aga7arn282sf349ck92pf8uadycs7enz6x
Current NFT ID #108 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
108
Accession (UniProt):
P61982
Name::
14-3-3 protein gamma
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 P61982 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P61982|1433G_MOUSE 14-3-3 protein gamma OS=Mus musculus OX=10090 GN=Ywhag PE=1 SV=2 MVDREQLVQKARLAEQAERYDDMAAAMKNVTELNEPLSNEERNLLSVAYKNVVGARRSSWRVISSIEQKTSADGNEKKIEMVRAYREKIEKELEAVCQDVLSLLDNYLIKNCSETQYESKVFYLKMKGDYYRYLAEVATGEKRATVVESSEKAYSEAHEISKEHMQPTHPIRLGLALNYSVFYYEIQNAPEQACHLAKTAFDDAIAELDTLNEDSYKDSTLIMQLLRDNLTLWTSDQQDDDGGEGNN