A4J5U0 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih4zdviiemtgogbsq6ndpgpar5kgugvcxuphnrszme5tplxbdlzga/metadata.json
IPFS of structure file: 
bafybeibu2zmkklbsarffxbqaaj7ovr5e3hi6szdobswhphmq4vti2japlu/AF-A4J5U0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xfD64dB3260CDFe4e5027DA9AEA4Ae91ce7088CaA
First NFT owner address (bech32): 
genesis1l4jdkvnqehlyu5p8m2dw5jhfrnns3r92rp99fx
Current NFT ID #63541 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
63541
Accession (UniProt):
A4J5U0
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
Desulfotomaculum reducens (strain MI-1)

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 A4J5U0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A4J5U0|CINA_DESRM Putative competence-damage inducible protein OS=Desulfotomaculum reducens (strain MI-1) OX=349161 GN=cinA PE=3 SV=1 MQAEIIFTGTELLVGEVLNSHAQYLGRRLTEMGIEVIQHTTVGDYWGRMGLVLLQALERADLIFITGGLGPTIDDLTKETVAEVLELDMKLDEASLEAIREHFAKRGMEMPDNNTKQAYFPEGARVLPNTRGTAPGAIVEVDKKAIIILPGPPWEMETMFDNSVVSYLNSLPHRGTLCTSKTFRLTGIGESTVQELIDDLCGMGNPEISFLVNPGVVEVRVTGQGATLEQATGLVQNLSEQVRKRLFQYIFAEDDEKIEQVVGQMLIDAGLTIAVAESCTGGLIEARLSDIPGASRYLVGGVVAYTKQVKERILGVPADTLAQFGAVSRQTAIAMAEGVRRELGSSIGLAVTGVAGPTSSEGKPVGLVYIALSSPTGVCYREYRFPGERKAIRSGTVNAALKMAKHFLQGK