A0A0K0IP23 AF NFT

Cystatin cpi-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih6vpiwfrd4edypanjz3kfff77jwjei3mot5ehkeinkxbtnwkqjoa/metadata.json
IPFS of structure file: 
bafybeigbu4jfnio4xkonq3gjbzjj2ngyemxnzygiatzijaln23lnoaa57a/AF-A0A0K0IP23-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf33131c0E4A1330B6dE251178dC23570A939f9BD
First NFT owner address (bech32): 
genesis17vcnrs8y5yeskm0z2ytcms34wz5nn7dasgejjf
Current NFT ID #75651 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
75651
Accession (UniProt):
A0A0K0IP23
Name::
Cystatin cpi-2
Experimental Method:
Predicted structure
Sequence source:
BRUGIA MALAYI

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 A0A0K0IP23 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0A0K0IP23|CPI2_BRUMA Cystatin cpi-2 OS=Brugia malayi OX=6279 GN=cpi-2 PE=1 SV=2 MMSTMSIKEGLLVILLSLFLFDTTALIHRREIPHMESKGQMQRGQVLLGGWQERSPEDNEILELLPSVLTKVNQQSNDEYHLMPIKLLNVSSQVVAGVKYKMEVQVARSECKKSASEQVNLKTCKKLEGHPDQVMTLEVWEKPWEDFLQVNILETKVLSSV