Two Methods for Superposing the Structures of Like-Molecule Assemblies: Application to Peptide and Protein Oligomers and Aggregates
Adam Liwo, Mateusz Leśniewski

TL;DR
This paper introduces two efficient algorithms for aligning structures of assemblies made of identical molecules, like peptides and proteins, without needing to check all possible arrangements.
Contribution
The novel contribution is two new algorithms (LMADA and LMAGDA) that efficiently superimpose like-molecule assemblies with lower computational cost than exhaustive methods.
Findings
LMADA achieves lower RMSD compared to exhaustive permutation methods.
LMAGDA provides better alignment of geometrically matching sections of assemblies.
Both algorithms scale with N² computational cost instead of N!.
Abstract
Two algorithms are proposed for the superposition of assemblies of like molecules (e.g., peptide and proteins homooligomers and homoaggregates), which do not require examining all permutations of the molecules. Both start from searching the mutual orientation of the two assemblies over a grid of quaternion components for the sub-optimal mapping and orientation of the molecules of the second to those of the first assembly. The first one, termed Like-Molecule Assembly Distance Alignment (LMADA), uses Singular Value Decomposition to superpose the two assemblies, given the sub-optimal mapping. The second one, termed Like-Molecule Assembly Gaussian Distance Alignment (LMAGDA), minimizes the negative of the logarithm of the sum of the Gaussian terms in the distances between the corresponding atoms/sites of all pairs of molecules of the two assemblies in quaternion components, starting from…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Click any figure to enlarge with its caption.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsChemical Synthesis and Analysis · RNA and protein synthesis mechanisms · Protein Structure and Dynamics
