Q95NR9 AF NFT

Calmodulin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicoj4m6mmynuv2af2ftanc6t2p5jvb23pwwofavcqeerlm4bflfhe/metadata.json
IPFS of structure file: 
bafybeia6xxnhd5soksgvodsl3teoposp26hl4if4hovekdzxfyrzxxamay/AF-Q95NR9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x66cc7a0eB7D43468C5dDa46c4E407dc0C1A1C67C
First NFT owner address (bech32): 
genesis1vmx85r4h6s6x33wa53kyusracrq6r3nutt9mfx
Current NFT ID #49878 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
49878
Accession (UniProt):
Q95NR9
Name::
Calmodulin
Experimental Method:
Predicted structure
Sequence source:
METRIDIUM SENILE

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 Q95NR9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q95NR9|CALM_METSE Calmodulin OS=Metridium senile OX=6116 PE=1 SV=3 MADQLTEEQIAEFKEAFSLFDKDGDGTITTKELGTVMRSLGQNPTEAELQDMINEVDADGNGTIDFPEFLTMMARKMKDTDSEEEIREAFRVFDKDGNGFISAAELRHVMTNLGEKLTDEEVDEMIREADIDGDGQVNYEEFVKMMTSK