Q03AQ1 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiafdap3njh2xwxwmjo6vxewvwxj7e4ml3lr73zdx77md45jrsmzsi/metadata.json
IPFS of structure file: 
bafybeihplsq5i3t7k73u46u7ywx62fomtjeufcmkxyvpreekj5oflvebnq/AF-Q03AQ1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xcc33Bc363609CCE2dFDa07b945a0C2C785684D0d
First NFT owner address (bech32): 
genesis1esemcd3kp8xw9h76q7u5tgxzc7zksngdtf4lyr
Current NFT ID #63549 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
63549
Accession (UniProt):
Q03AQ1
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
Lacticaseibacillus paracasei (strain ATCC 334 / BCRC 17002 / CCUG 31169 / CIP 107868 / KCTC 3260 / NRRL B-441)

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 Q03AQ1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q03AQ1|CINA_LACP3 Putative competence-damage inducible protein OS=Lacticaseibacillus paracasei (strain ATCC 334 / BCRC 17002 / CCUG 31169 / CIP 107868 / KCTC 3260 / NRRL B-441) OX=321967 GN=cinA PE=3 SV=1 MQAEIIAVGTEILMGQITNTNGAYMAKQLTALGIDSYHQQVVGDNGPRLEEAIKLAESRSNLVILIGGLGPTPDDLTKQTLAAHLNRKLVEDPDAMAKLQARVKQQQRPMTPNNQLQAMYPEGADILVNRVGLAVGAWIVNGQHTYVLLPGPPKEFVPMVDHELLPRLAKWSGHAEVMVSRVLRFFGIGESQLVTDLDDLIANQTDPTIATYIKDHEVTVRVTASGATEKDADAKLEPMVGAIMDRDGQYFYGYGDDNSLAKELVKTLAANDMQITAAESLTAGAFQAALGDVPGVSTYFKGGFVTYSLATKAAFLAIDARELAAHGVVSAFTAKAMAEHARRKAAADISVSFTGVAGPDTLEGQPAGTVWIGLARRGQLPEAHVYHFPGGRNDVRQRAVMTGMMLALRALQA