20240053958. METHOD OF MULTIPLE SEQUENCE ALIGNMENT USING CONTINUOUS POSITION SOLVING AND QUANTIZATION WITH BEAD-ATTRACTION MODEL simplified abstract (Unknown Organization)

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METHOD OF MULTIPLE SEQUENCE ALIGNMENT USING CONTINUOUS POSITION SOLVING AND QUANTIZATION WITH BEAD-ATTRACTION MODEL

Organization Name

Unknown Organization

Inventor(s)

Daniel Kim of Chappaqua NY (US)

METHOD OF MULTIPLE SEQUENCE ALIGNMENT USING CONTINUOUS POSITION SOLVING AND QUANTIZATION WITH BEAD-ATTRACTION MODEL - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240053958 titled 'METHOD OF MULTIPLE SEQUENCE ALIGNMENT USING CONTINUOUS POSITION SOLVING AND QUANTIZATION WITH BEAD-ATTRACTION MODEL

Simplified Explanation

The patent application describes a method for aligning multiple sequences by modeling each sequence as a rod with interacting beads.

  • Method maps input sequences to 1-dimensional coordinates representing bead positions.
  • Defines attractive and repulsive interactions among beads on the sequences.
  • Calculates steady-state coordinates balancing interacting forces or momentum.
  • Updates coordinates in small steps to obtain solved steady-state coordinates.
  • Quantization process converts final coordinates into integer values for output sequences or alignment results.

Potential Applications

This technology could be applied in bioinformatics for aligning DNA or protein sequences, in computer science for text alignment, and in robotics for path planning.

Problems Solved

This technology solves the problem of efficiently aligning multiple sequences with complex interactions between elements.

Benefits

  • Accurate alignment of sequences
  • Efficient computation of interactions
  • Versatile application in various fields such as bioinformatics, computer science, and robotics.


Original Abstract Submitted

embodiments of the invention are directed to a method for aligning multiple sequences that models each sequence as a rod with interacting beads. the method begins by mapping each of the input sequences to a set of 1-dimensional coordinates that represent positions of beads. the method also defines attractive and repulsive interactions among beads on same or different sequences. in a non-limiting example of the method, steady-state coordinates that balance interacting forces or momentum can be obtained by updating coordinates in a small step. the solved steady-state coordinates are not integer numbers but decimal numbers. finally, a quantization process is performed to convert the final coordinates into integer values and eventually into output sequences or alignment results.