Protein sequence design with a learned potential
Sign Up to like & getrecommendations! Published in 2022 at "Nature Communications"
DOI: 10.1038/s41467-022-28313-9
Abstract: The task of protein sequence design is central to nearly all rational protein engineering problems, and enormous effort has gone into the development of energy functions to guide design. Here, we investigate the capability of… read more here.
Keywords: design; design learned; sequence design; protein ... See more keywords
Polymer sequence design via molecular simulation-based active learning.
Sign Up to like & getrecommendations! Published in 2023 at "Soft matter"
DOI: 10.1039/d2sm01193j
Abstract: Molecular-scale interactions and chemical structures offer an enormous opportunity to tune material properties. However, designing materials from their molecular scale is a grand challenge owing to the practical limitations in exploring astronomically large design spaces… read more here.
Keywords: active learning; sequence design; design via; design ... See more keywords
Deep learning of protein sequence design of protein–protein interactions
Sign Up to like & getrecommendations! Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac733
Abstract: Motivation As more data of experimentally determined protein structures is becoming available, data-driven models to describe protein sequence-structure relationship become more feasible. Within this space, the amino acid sequence design of protein-protein interactions has still… read more here.
Keywords: protein interactions; protein protein; sequence design; protein ... See more keywords
Improved Bare Bones Particle Swarm Optimization for DNA Sequence Design.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on nanobioscience"
DOI: 10.1109/tnb.2022.3220795
Abstract: DNA computing has efficient computational power, but requires high requirements on the DNA sequences used for coding, and reliable DNA sequences can effectively improve the quality of DNA encoding. And designing reliable DNA sequences is… read more here.
Keywords: dna; dna sequences; sequence design; dna sequence ... See more keywords
A Unified Framework for Low Autocorrelation Sequence Design via Majorization–Minimization
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2016.2620113
Abstract: In this paper, we consider the low autocorrelation sequence design problem. We optimize a unified metric over a general constraint set. The unified metric includes the integrated sidelobe level (ISL) and the peak sidelobe level… read more here.
Keywords: autocorrelation sequence; low autocorrelation; minimization; autocorrelation ... See more keywords
Training Beam Sequence Design for mmWave Tracking Systems With and Without Environmental Knowledge
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2022.3187167
Abstract: In this paper, we consider a millimeter wave multiple-input single-output tracking system, where the time-varying angle of departure (AoD) is assumed to change following a discrete state Markov process. Depending on whether the associated AoD… read more here.
Keywords: function; beam; sequence design; training beam ... See more keywords