Q0SWN5 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaqmofdbmjtx6latdb6sfmht55pgukwpag2rroywcesg4435sbc7i/metadata.json
IPFS of structure file: 
bafybeidkq2d7ctunidbk5sgsord35n55cg5upmqqyl7aypedo7p7szsk4e/AF-Q0SWN5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x78Cc7f9BF18AF8279e492D45EE7Fe9d7cC6f6D07
First NFT owner address (bech32): 
genesis10rx8lxl33tuz08jf94z7ullf6lxx7mg8844d65
Current NFT ID #63538 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
63538
Accession (UniProt):
Q0SWN5
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
CLOSTRIDIUM PERFRINGENS (STRAIN SM101 / TYPE A)

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 Q0SWN5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0SWN5|CINA_CLOPS Putative competence-damage inducible protein OS=Clostridium perfringens (strain SM101 / Type A) OX=289380 GN=cinA PE=3 SV=1 MKAEIMAIGTEILLGDIVNTNAQFLAKELANLGIGVYHQSVVGDNSERILEAFDNAFKNCDTIITTGGLGPTKDDLSKELAAKYFNMEMCLREELLCDLEDYFKKNNLEMTENNKKQCYFPKEAIILPNPNGTAPGAILEGENNKRIILLPGPPREMEPMFTNHVVPYLSKFTDSVLVSKILRVFGIGESKMDDLVCDLLDNENPTVAPYAKNIDVILRITAKGKDKEEAEKLIAPMEKEIRKRLGDNIYGEGEVTLEEVVGKLLVDKKMTVSTAESCTGGMVASTLINYPGISEVFMEGAVTYSNEAKMKRLGVKKETLEDFGAVSEECAREMAKGIAKNAETRIGISITGIAGPGGGTEEKPVGLVYAGLCIDGITKVKKFNFKADRQKVRTRTMMNVLDWLRRELEKID