P0CI95 AF NFT

Glycine-rich protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibqpvqnciyem2bnvpkjkchyd7e3tho6yubyvgwemmijx3amzwhrgu/metadata.json
IPFS of structure file: 
bafybeifarup7f7oc5icahxwzujadanukcx5ke3xrhin7baonvuoirrmcpy/AF-P0CI95-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xCA1c1AD56086E5C8CfCf3d7aaCe8AAc1109763Cb
First NFT owner address (bech32): 
genesis1egwp44tqsmju3n7084a2e692cygfwc7tejgmk7
Current NFT ID #260483 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
260483
Accession (UniProt):
P0CI95
Name::
Glycine-rich protein
Experimental Method:
Predicted structure
Sequence source:
LYCHAS MUCRONATUS

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 P0CI95 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0CI95|NDBG2_LYCMC Glycine-rich protein OS=Lychas mucronatus OX=172552 PE=3 SV=1 MKSMIAAILFALVATSLAGYLGYAGYGGPYGGYGAFGFRGVPVGRAVAYSSSIRHPGYGYGLGLGYGGLGYGLGYGGYGGYGLGYGYGGYGLGLGHGLGLGKVW