activity
20192023
most citedAlgorithm for Optimized mRNA Design Improves Stability and Immunogenicity

491 citations · 760 across the 6 of their papers we have counts for

collaborators

6 papers

q-bio.BM2023

LinearSankoff: Linear-time Simultaneous Folding and Alignment of RNA Homologs

Sizhen Li, Ning Dai, He Zhang +3

The classical Sankoff algorithm for the simultaneous folding and alignment of homologous RNA sequences is highly influential, but it suffers from two major limitations in efficienc…

q-bio.BM2022

LinearCoFold and LinearCoPartition: Linear-Time Algorithms for Secondary Structure Prediction of Interacting RNA molecules

He Zhang, Sizhen Li, Liang Zhang +2

Many ncRNAs function through RNA-RNA interactions. Fast and reliable RNA structure prediction with consideration of RNA-RNA interaction is useful. Some existing tools are less accu…

q-bio.BM2020★ 491 cited

Algorithm for Optimized mRNA Design Improves Stability and Immunogenicity

He Zhang, Liang Zhang, Ang Lin +11

Messenger RNA (mRNA) vaccines are being used for COVID-19, but still suffer from the critical issue of mRNA instability and degradation, which is a major obstacle in the storage, d…

q-bio.BM2020★ 10 cited

ThreshKnot: Thresholded ProbKnot for Improved RNA Secondary Structure Prediction

Liang Zhang, He Zhang, David H. Mathews +1

RNA structure prediction is a challenging problem, especially with pseudoknots. Recently, there has been a shift from the classical minimum free energy-based methods (MFE) to parti…

q-bio.BM2019★ 255 cited

LinearFold: linear-time approximate RNA folding by 5'-to-3' dynamic programming and beam search

Liang Huang, He Zhang, Dezhong Deng +4

Motivation: Predicting the secondary structure of an RNA sequence is useful in many applications. Existing algorithms (based on dynamic programming) suffer from a major limitation:…

q-bio.BM2019★ 4 cited

LinearPartition: Linear-Time Approximation of RNA Folding Partition Function and Base Pairing Probabilities

He Zhang, Liang Zhang, David H. Mathews +1

RNA secondary structure prediction is widely used to understand RNA function. Recently, there has been a shift away from the classical minimum free energy (MFE) methods to partitio…