Q4LDR2 AF NFT

Cortexin-3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiarzj5l4okpcpb65fhxy4afri6collmxh3udv5selesf7jsczspyy/metadata.json
IPFS of structure file: 
bafybeiaxoeij6e7ajg3gna3clntyafavvqu3ev44tsxmhktyvesuwtynvq/AF-Q4LDR2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x650D212bc55D555afec5187BC0cCdFF33c39C025
First NFT owner address (bech32): 
genesis1v5xjz279t4244lk9rpaupnxl7v7rnsp9rhljgx
Current NFT ID #80696 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
80696
Accession (UniProt):
Q4LDR2
Name::
Cortexin-3
Experimental Method:
Predicted structure
Sequence source:
HOMO SAPIENS

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 Q4LDR2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4LDR2|CTXN3_HUMAN Cortexin-3 OS=Homo sapiens OX=9606 GN=CTXN3 PE=1 SV=1 MDGGQPIPSSLVPLGNESADSSMSLEQKMTFVFVILLFIFLGILIVRCFRILLDPYRSMPTSTWADGLEGLEKGQFDHALA