Q16981 AF NFT

Neuronal calcium sensor 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie3fyzhsrpxtxvo3bnmmok4dj4q4zdobavjpfbcvyi7wmjueibhcm/metadata.json
IPFS of structure file: 
bafybeia24fc2c6piw5ituagl6dicbjaozfsfgt23uk4z2ujbxw75uocnqa/AF-Q16981-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xAd557e6f6A692F288Eb46BbD1Af60EBFddb60Ea0
First NFT owner address (bech32): 
genesis1442humm2dyhj3r45dw734aswhlwmvr4qupm7sd
Current NFT ID #260324 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
260324
Accession (UniProt):
Q16981
Name::
Neuronal calcium sensor 1
Experimental Method:
Predicted structure
Sequence source:
APLYSIA CALIFORNICA

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 Q16981 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q16981|NCS1_APLCA Neuronal calcium sensor 1 OS=Aplysia californica OX=6500 PE=2 SV=2 MGKRASKLKPEEVEELKQQTYFTEAEIKQWHKGFRKDCPDGKLTLEGFTKIYQQFFPFGDPSKFANFVFNVFDENKDGFISFGEFLQALSVTSRGTVEEKLKWAFRLYDLDNDGFITRDELLDIVDAIYRMVGESVRLPEEENTPEKRVNRIFQVMDKNKDDKLTFDEFLEGSKEDPTIIQALTLCDSGQA