P0C7V2 AF NFT

Protein RecA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifavmhiqy6klpruxj5754nexb4od4ndiinrll2427b7h6o3ixxece/metadata.json
IPFS of structure file: 
bafybeifhufphwiq643uwdesooumnpwnp5r64xisizmohqjzmswwlhxxlkm/AF-P0C7V2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xcD609cF0CC50806EC1C19a3758EC341c1825f7d4
First NFT owner address (bech32): 
genesis1e4sfeuxv2zqxaswpngm43mp5rsvzta75qlsvw2
Current NFT ID #336172 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
336172
Accession (UniProt):
P0C7V2
Name::
Protein RecA
Experimental Method:
Predicted structure
Sequence source:
BURKHOLDERIA CEPACIA

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 P0C7V2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0C7V2|RECA_BURCE Protein RecA OS=Burkholderia cepacia OX=292 GN=recA PE=3 SV=1 MTAEKSKALAAALAQIEKQFGKGSIMRMGDGEAAEDIQVVSTGSLGLDIALGVGGLPRGRVVEIYGPESSGKTTLTLQVIAELQKLGGTAAFIDAEHALDVQYAAKLGVNVPELLISQPDTGEQALEITDALVRSGSIDMIVIDSVAALVPKAEIEGEMGDSLPGLQARLMSQALRKLTGTIKRTNCLVIFINQIRMKIGVMFGNPETTTGGNALKFYSSVRLDIRRIGSIKKNDEVIGNETRVKVVKNKVSPPFREAIFDILYGEGISRQGEIIDLGVQAKIVDKAGAWYSYNGEKIGQGKDNAREFLRENPEIAREIENRIRESLGVVAMPDGAGNEAEAMDEEE