Q54P23 AF NFT

Stromal cell-derived factor 2-like protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibroaobvpigtywiforweunfve4ypmfwcqj5u3wv7ri27j6q7tiu44/metadata.json
IPFS of structure file: 
bafybeif4wfybdflv3s76ke74bjfda6vgtzdpyxut2wmio6l7ekryvak37i/AF-Q54P23-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x71112d4fF7ebb3b617963c05f052289e073082FD
First NFT owner address (bech32): 
genesis1wygj6nlhawemv9uk8szlq53gncrnpqha56an79
Current NFT ID #422638 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
422638
Accession (UniProt):
Q54P23
Name::
Stromal cell-derived factor 2-like protein
Experimental Method:
Predicted structure
Sequence source:
DICTYOSTELIUM DISCOIDEUM

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 Q54P23 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q54P23|SDF2_DICDI Stromal cell-derived factor 2-like protein OS=Dictyostelium discoideum OX=44689 GN=DDB_G0284847 PE=3 SV=1 MKSLFLILILCITIPLIFANESQYEDHPITKVTYGSMVKLAHVPTNFRLHSHKVSYGSSGGGSGQQSVTGFPENDDTNSLWVIKGPHGNRVLQGTVVKNGDIIRLVHSNTKKNLHSHLAVSPLTKQNEVSCFGENGEGDTGDNWIVETESGKEWMRGQVVRFKHADTKTYLQAIESAKYQNPIPGQIEISGGKSKNEDTKWRTEEGIYFDEK