Biology subjects

Kim, D. S.

Publications and source records attributed to Kim, D. S..

At least 19 recordsLinked to original sources

bioRxiv2026

Prot2Prop: Structure-informed multitask protein property prediction

Protein engineering often relies on separate models for related developability properties, limiting efficiency and transfer across tasks. We present Prot2Prop, a multitask framework based on a frozen ProstT5 encoder with shared and task-specific adapters for joint prediction of six protein properties: material production, solubility, temperature stability, aggregation propensity, expression yield, and folding stability. Across held-out test data, Prot2Prop achieved strong performance on both classification and regression tasks, including AUROC values ranging from 0.86 to 0.98 for classification endpoints and Spearman correlations ranging from 0.73 to 0.86 for regression endpoints. The model achieved particularly strong performance for temperature stability (AUROC = 0.98) and aggregation propensity (Spearman = 0.86). Post-hoc calibration further improved regression accuracy, reducing folding stability MAE from 0.67 to 0.48. These results demonstrate that parameter-efficient multitask adaptation of protein language models can provide accurate and unified prediction of diverse protein developability properties. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=132 SRC="FIGDIR/small/735009v1_ufig1.gif" ALT="Figure 1"> View larger version (51K): org.highwire.dtl.DTLVardef@904e5forg.highwire.dtl.DTLVardef@954cdorg.highwire.dtl.DTLVardef@9e9417org.highwire.dtl.DTLVardef@10c9118_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

bioRxiv2026

A new therapeutic approach for Parkinson's disease: dual targeting of alpha-Synuclein aggregation and microglial function by the novel immunomodulator 3-Monothiopomalidomide

Background-Synuclein (-Syn) plays a central role in Parkinsons disease (PD). Under pathological conditions, -Syn aggregates into toxic oligomers and fibrils that act as damage-associated molecular patterns (DAMPs), stimulating microglial reactivity. This -Syn-microglia axis creates a self-perpetuating cycle of neuroinflammation and neurodegeneration, accelerating dopaminergic neuron loss in the substantia nigra pars compacta (SNpc) and contributing to motor deficits. Moreover, -Syn pathology spreads through the brain, disrupting synaptic plasticity in cognitive regions like the cortex and hippocampus, leading to early cognitive decline. Thus, targeting -Syn aggregation and its inflammatory consequences presents a promising dual-hit therapeutic strategy for PD. MethodsThis study investigates the therapeutic potential of 3-monothiopomalidomide (3MP), a novel thalidomide derivative designed to reduce neuroinflammation with a potentially better safety profile than Pomalidomide (POM). The neuroprotective and anti-inflammatory effects of 3MP were evaluated in rat primary mesencephalic mixed neuron-microglia cultures exposed to human -Syn oligomers (H-SynOs). Anti-aggregation activity was assessed via Thioflavin T (ThT) assays and Thioflavin S (ThS) staining in SH-SY5Y cells. Finally, the anti-aggregation, anti-inflammatory, and neuroprotective effects of 3MP were evaluated in vivo in a rat model of PD induced by intracerebral infusion of H-SynOs. ResultsIn primary cell cultures, 3MP dose-dependently reduced -Syn-induced neuronal death and microglial inflammatory responses. It also significantly inhibited -Syn aggregation in vitro in the ThT assay and in SH-SY5Y cells exposed to -Syn protofibrils, outperforming POM. When chronically administered in vivo, 3MP preserved dopaminergic neurons within the SNpc and yielded functional benefits on motor and cognitive readouts. Notably, 3MP markedly attenuated -Syn aggregates induced by the H-SynOs infusion in the SNpc more efficiently than POM, as shown by reduced intraneuronal staining for pSer129--Syn+ and reduced pSer129-Syn in both cytoplasmic and phagolysosomal compartments of microglia. In addition, mesencephalic and cortical inflammatory microgliosis that followed to intranigral H-SynOs-infusion, were significantly dampened by 3MP. ConclusionsOverall, 3MP emerges as a dual-action drug candidate capable of modulating neuroinflammation and -Syn aggregation and thereby disrupting the -Syn-driven inflammatory cycle. Its neuroprotective effects and favourable safety profile support its potential as a disease-modifying therapy for PD, with promising implications for clinical translation.

neuroscience↗

bioRxiv2026

A regulatory role of novel long non-coding RNA, BAZ1A-AS1, in vascular smooth muscle cell functions during neointima formation in human saphenous veins

BackgroundNeointimal proliferation (NP) is a major cause of stenosis and occlusion in arteries and veins. Human saphenous veins (HSV), often used for coronary artery bypass grafting, frequently fail in part due to NP. Long non-coding RNAs (lncRNAs) have emerged as critical regulators of vascular smooth muscle cell (VSMC) phenotype, yet lncRNAs governing NP in human veins remain largely uncharacterized. Methods and ResultsUsing an ex vivo model of NP in human SV, we performed bulk RNA sequencing on SV tissues with and without NP. Among differentially expressed lncRNAs, we identified a previously uncharacterized transcript, Bromodomain Adjacent to Zinc Finger A1 antisense 1 (BAZ1A-AS1), and its predicted cis-regulatory partner gene BAZ1A, as markedly upregulated during NP and predominantly enriched in VSMCs. Both transcripts were induced by genotoxic stimuli, with BAZ1A-AS1 showing transient induction preceding sustained BAZ1A upregulation, consistent with a priming role in the DNA damage response. Silencing of either BAZ1A-AS1 or BAZ1A attenuated VSMC proliferation and migration, accompanied by upregulation of contractile markers and suppression of proliferative and inflammatory transcriptional programs. ChIRP-qPCR demonstrated that BAZ1A-AS1 physically interacts with 3' distal exons of BAZ1A at the DNA level while selectively engaging CNN1, CCND1, and IL6 mRNAs, indicating mechanistically distinct chromatin- and RNA-level regulatory functions. Baz1a haploinsufficiency attenuated neointima formation and preserved VSMC contractile identity in a mouse carotid artery ligation model. ConclusionsWe identify BAZ1A-AS1 and BAZ1A as stress-responsive regulators of VSMC phenotype, operating through dual mechanisms of cis-regulatory chromatin interaction and selective mRNA engagement, and demonstrate a novel role for the BAZ1A-AS1/BAZ1A axis in promoting NP.

physiology↗

bioRxiv2023

Threshold of somatic mosaicism disrupting the brain function

Somatic mosaicism in a fraction of brain cells causes neurodevelopmental disorders, including childhood intractable epilepsy. However, the threshold for somatic mosaicism leading to brain dysfunction is unknown. In this study, we induced various mosaic burdens in mice of focal cortical dysplasia type II (FCD II), featuring mTOR somatic mosaicism and spontaneous behavioral seizures. Mosaic burdens ranged from approximately 1,000 to 40,000 neurons expressing the mTOR mutant in the somatosensory (SSC) or medial prefrontal (PFC) cortex. Surprisingly, just [~]8,000-9,000 neurons expressing the MTOR mutant were sufficient to trigger epileptic seizures. Mutational burden correlated with seizure frequency and onset, with a higher tendency for electrographic inter-ictal spikes and beta- and gamma-frequency oscillations in FCD II mice exceeding the threshold. Moreover, mutation-negative FCD II patients in deep sequencing of their bulky brain tissues revealed somatic mosaicism of mTOR pathway genes as low as 0.07% in resected brain tissues through ultra-deep targeted sequencing (up to 20 million reads). Thus, our study suggests that extremely low levels of somatic mosaicism can contribute to brain dysfunction.

genetics↗

bioRxiv2023

RNF213 variant and autophagic impairment: A pivotal link to endothelial dysfunction in Moyamoya disease

BackgroundMoyamoya disease (MMD) is closely associated with the Ring Finger Protein 213 (RNF213), a susceptibility gene for this disease. However, its biological function remains unclear. We aimed to elucidate the role of RNF213 in the damage incurred by human endothelial cells under oxygen-glucose deprivation (OGD), a condition that mimics intracranial ischemia in patients with MMD. MethodsWe analyzed autophagy in peripheral blood mononuclear cells (PBMCs) derived from patients carrying either RNF213 wild-type (WT) or variant (R4810K). Subsequently, human umbilical vein endothelial cells (HUVECs) were transfected with RNF213 WT (HUVECWT) or R4810K (HUVECR4810K) and exposed to OGD for 2 h to determine the role of the RNF213 variant in such a setting. Immunoblotting was used to analyze autophagy marker proteins, and tube formation assays were performed to examine endothelial function. Autophagic vesicles were observed using transmission electron microscopy. Post-OGD exposure, we administered autophagy modulators such as rapamycin and cilostazol. ResultsThe RNF213 variant group during post-OGD exposure (vs. pre-OGD exposure) showed autophagy inhibition, increased protein expression of SQSTM1/p62 (p < 0.0001) and LC3-II (p = 0.0039), and impaired endothelial function (p = 0.0252). HUVECR4810K during post-OGD exposure (versus pre-OGD exposure) showed a remarkable increase in autophagic vesicles. Administration of autophagy modulators notably restored the function of HUVECR4810K and cellular autophagy. ConclusionsOur findings support the pivotal role of autophagy impaired by the RNF213 variant in MMD-induced endothelial cell dysfunction and underscore the critical mechanism of autophagy leading to progressive endothelial dysfunction and MMD pathogenesis under relative ischemia within the intracranial portion.

neuroscience↗

bioRxiv2023

An atypical basement membrane forms a midline barrier in left-right asymmetric gut development

Correct intestinal morphogenesis depends on the early embryonic process of gut rotation, an evolutionarily conserved program in which a straight gut tube elongates and forms into its first loops. However, the gut tube requires guidance to loop in a reproducible manner. The dorsal mesentery (DM) connects the gut tube to the body and directs the lengthening gut into stereotypical loops via left-right (LR) asymmetric cellular and extracellular behavior. The LR asymmetry of the DM also governs blood and lymphatic vessel formation for the digestive tract, which is essential for prenatal organ development and postnatal vital functions including nutrient absorption. Although the genetic LR asymmetry of the DM has been extensively studied, a divider between the left and right DM has yet to be identified. Setting up LR asymmetry for the entire body requires a Lefty1+ midline barrier to separate the two sides of the embryo, without it, embryos have lethal or congenital LR patterning defects. Individual organs including the brain, heart, and gut also have LR asymmetry, and while the consequences of left and right signals mixing are severe or even lethal, organ-specific mechanisms for separating these signals are poorly understood. Here, we uncover a midline structure composed of a transient double basement membrane, which separates the left and right halves of the embryonic chick DM during the establishment of intestinal and vascular asymmetries. Unlike other basement membranes of the DM, the midline is resistant to disruption by intercalation of Netrin4 (Ntn4). We propose that this atypical midline forms the boundary between left and right sides and functions as a barrier necessary to establish and protect organ asymmetry.

developmental biology↗

bioRxiv2023

A developmentally-inspired hypoxia condition promotes kidney organoid differentiation from human pluripotent stem cells

Kidney organoids derived from human pluripotent stem cells (hPSCs) lack a contiguous network of collecting ducts, which limits their utility in modeling kidney development and disease. Here, we report the generation of kidney organoids containing ureteric bud (UB)-derived collecting ducts connected to metanephric mesenchyme (MM)-derived nephrons using developmentally-inspired hypoxic differentiation conditions. Hypoxia promotes a reiterative process of branching morphogenesis and nephron induction through reciprocal interactions between co-induced MM and UB, which lead to a higher-order kidney organogenesis in vitro. The resulting kidney organoids demonstrate greater maturity, as indicated by higher levels of functional markers and more realistic micro-anatomy of the tubules and collecting ducts. Additionally, these hypoxic-enhanced kidney organoids show a great potential as in vitro models for renal cystic diseases, as they efficiently generate cystic formations and display high sensitivity to drugs. This hypoxia approach may open new avenues for an enhanced understanding of kidney development and diseases.

bioengineering↗

bioRxiv2023

ATR2Cala2 from Arabidopsis-infecting downy mildew requires 4 TIR-NLR immune receptors for full recognition

O_LIArabidopsis Col-0 RPP2A and RPP2B confer recognition of Arabidopsis downy mildew (Hyaloperonospora arabidopsidis [Hpa]) isolate Cala2, but the identity of the recognized ATR2Cala2 effector was unknown. C_LIO_LITo reveal ATR2Cala2, an F2 population was generated from a cross between Hpa-Cala2 and Hpa-Noks1. We identified ATR2Cala2 as a non-canonical RxLR-type effector that carries a signal peptide, a dEER motif, and WY domains but no RxLR motif. Recognition of ATR2Cala2and its effector function were verified by biolistic bombardment, ectopic expression and Hpa infection. C_LIO_LIATR2Cala2 is recognized in accession Col-0 but not in Ler-0 in which RPP2A and RPP2B are absent. In ATR2Emoy2 and ATR2Noks1 alleles, a frameshift results in an early stop codon. RPP2A and RPP2B are essential for the recognition of ATR2Cala2. Stable and transient expression of ATR2Cala2 under 35S promoter in Arabidopsis and Nicotiana benthamiana enhances disease susceptibility. C_LIO_LITwo additional Col-0 TIR-NLR (TNL) genes (RPP2C and RPP2D) adjacent to RPP2A and RPP2B are quantitatively required for full resistance to Hpa-Cala2. C_LIO_LIWe compared RPP2 haplotypes in multiple Arabidopsis accessions and showed that all 4 genes are present in all ATR2Cala2-recognizing accessions. C_LI

plant biology↗

bioRxiv2023

The ENCODE Uniform Analysis Pipelines

The Encyclopedia of DNA elements (ENCODE) project is a collaborative effort to create a comprehensive catalog of functional elements in the human genome. The current database comprises more than 19000 functional genomics experiments across more than 1000 cell lines and tissues using a wide array of experimental techniques to study the chromatin structure, regulatory and transcriptional landscape of the Homo sapiens and Mus musculus genomes. All experimental data, metadata, and associated computational analyses created by the ENCODE consortium are submitted to the Data Coordination Center (DCC) for validation, tracking, storage, and distribution to community resources and the scientific community. The ENCODE project has engineered and distributed uniform processing pipelines in order to promote data provenance and reproducibility as well as allow interoperability between genomic resources and other consortia. All data files, reference genome versions, software versions, and parameters used by the pipelines are captured and available via the ENCODE Portal. The pipeline code, developed using Docker and Workflow Description Language (WDL; https://openwdl.org/) is publicly available in GitHub, with images available on Dockerhub (https://hub.docker.com), enabling access to a diverse range of biomedical researchers. ENCODE pipelines maintained and used by the DCC can be installed to run on personal computers, local HPC clusters, or in cloud computing environments via Cromwell. Access to the pipelines and data via the cloud allows small labs the ability to use the data or software without access to institutional compute clusters. Standardization of the computational methodologies for analysis and quality control leads to comparable results from different ENCODE collections - a prerequisite for successful integrative analyses. Database URL: https://www.encodeproject.org/

bioinformatics↗

bioRxiv2022

Genetic architecture of creativity and extensive genetic overlap with psychiatric disorders revealed from genome-wide association analyses of 241,736 individuals

Creativity is heritable and exhibits familial aggregation with psychiatric disorders, but its genomic basis and genetic relationship with psychiatric disorders remain largely unknown. Here, we conducted a genome-wide association study (GWAS) using an expanded, machine learning-based definition of creativity in individuals of European ancestry from the UK Biobank (n = 241,736) and identified 25 creativity-associated loci. Extensive genetic overlap with psychiatric disorders, including schizophrenia, major depression, bipolar I disorder, attention deficit/hyperactivity disorder, and anorexia nervosa, was demonstrated by the genetic correlation, polygenic risk score, and MiXeR analyses. The condFDR and conjFDR analyses identified additional loci for creativity and psychiatric disorders, as well as shared genetic loci between creativity and psychiatric disorders. This GWAS showed significant correlations with GWASs using traditional definitions of creativity and GWASs adjusted for educational attainment. Our findings contribute to the understanding of the genetic architecture of creativity and reveal its polygenic relationships with psychiatric disorders.

genomics↗

bioRxiv2022

Effective Representation Learning via The Integrated Self-Supervised Pre-training models of StyleGAN2-ADA and DINO for Colonoscopy Images

In order to reach better performance in visual representation learning from image or video dataset, huge amount of annotated data are on demand. However, collecting and annotating large-scale datasets are costly and time-consuming tasks. Especially, in a domain like medical, it is hard to access patient images because of the privacy concerns and also not knowing what exactly to annotate without expert effort. One of the solutions to obviate the hassle is to use Self-Supervised learning methods (SSL) and Generative Adversarial Networks (GANs) together. SSL and GANs are quickly advancing fields. GANs have unique capability to create unlabeled data sources containing photo-realistic images while SSL methods are able to learn general image and video features from large-scale data without using any human-annotated labels. In this work, we explore leveraging the power of recently introduced StyleGAN2-ada and Self-Supervised Pre-Training of Dino together for the pretext task. Our underlying insight is also that leveraging the current approaches with Transfer Learning (TF) together brings benefit on doing pretext task in medical domain. By the strategy of unifying these two approaches, we propose the integrated version and use it derive representation learning on polyp dataset.

bioinformatics↗

bioRxiv2022

Computationally-guided design and selection of ribosomal active site mutants with high activity

Understanding how modifications to the ribosome affect function has implications for studying ribosome biogenesis, building minimal cells, and repurposing ribosomes for synthetic biology. However, efforts to design sequence-modified ribosomes have been limited because point mutations in the ribosomal RNA (rRNA), especially in the catalytic active site (peptidyl transferase center; PTC), are often functionally detrimental. Moreover, methods for directed evolution of rRNA are constrained by practical considerations (e.g., library size). Here, to address these limitations, we developed a computational rRNA design approach for screening guided libraries of mutant ribosomes. Our method includes in silico library design and selection using a Rosetta stepwise Monte Carlo method (SWM), library construction and in vitro testing, and functional characterization in vivo. As a model, we apply our method to making modified ribosomes with mutant PTCs. We engineer ribosomes with as many as 30 mutations in their PTCs, highlighting previously unidentified epistatic interactions, and show that SWM helps identify sequences with beneficial phenotypes as compared to random library sequences. We further demonstrate that some variants improve cell growth in vivo, relative to wild type ribosomes. We anticipate that SWM design may serve as a powerful tool for high-resolution rRNA design.

synthetic biology↗

bioRxiv2021

Multi-organ analysis of low-level somatic mosaicism reveals stage- and tissue-specific mutational features in human development

Most somatic mutations arising during normal development present as low-level in single or multiple tissues depending on the developmental stage and affected organs1-4. However, it remains unclear how the human developmental stages or mutation-carrying organs affect somatic mutations features. Here, we performed a systemic and comprehensive analysis of low-level somatic mutations using deep whole-exome sequencing (WES; average read depth: [~]500x) of 498 multiple organ tissues with matched controls from 190 individuals. We found that early-stage mutations shared between multiple organs are lower in number but showed higher allele frequencies than late-stage mutations [0.54 vs. 5.83 variants per individual: 6.17% vs. 1.5% variant allele frequency (VAF)] along with less nonsynonymous mutations and lower functional impacts. Additionally, early- and late-stage mutations had unique mutational signatures distinct from tumor-originate mutations. Compared with early-stage mutations presenting a clock-like signature across all studied organs or tissues, late-stage mutations show organ, tissue, and cell-type specificity in mutation count, VAFs, and mutational signatures. In particular, analysis of brain somatic mutations shows bimodal occurrence and temporal-lobe-specific mutational signatures. These findings provide new insight into the features of somatic mosaicisms dependent on developmental stages and brain regions.

genomics↗

bioRxiv2021

Combinatorial optimization of mRNA structure, stability, and translation for RNA-based therapeutics

Therapeutic mRNAs and vaccines are being developed for a broad range of human diseases, including COVID-19. However, their optimization is hindered by mRNA instability and inefficient protein expression. Here, we describe design principles that overcome these barriers. We develop a new RNA sequencing-based platform called PERSIST-seq to systematically delineate in-cell mRNA stability, ribosome load, as well as in-solution stability of a library of diverse mRNAs. We find that, surprisingly, in-cell stability is a greater driver of protein output than high ribosome load. We further introduce a method called In-line-seq, applied to thousands of diverse RNAs, that reveals sequence and structure-based rules for mitigating hydrolytic degradation. Our findings show that "superfolder" mRNAs can be designed to improve both stability and expression that are further enhanced through pseudouridine nucleoside modification. Together, our study demonstrates simultaneous improvement of mRNA stability and protein expression and provides a computational-experimental platform for the enhancement of mRNA medicines.

molecular biology↗

bioRxiv2020

Clonal dynamics in early human embryogenesis inferred from somatic mutation

The trillions of cells that constitute the human body are developed from a fertilized egg through embryogenesis. However, cellular dynamics and developmental outcomes of embryonic cells in humans remain to be largely unknown due to the technical and ethical challenges. Here, we explored whole-genomes of 334 single-cell expanded clones and targeted deep-sequences of 379 bulk tissues obtained from various anatomical locations from seven individuals. Using the discovered 1,688,652 somatic mutations as an intrinsic barcode, we reconstructed cellular phylogenetic trees that provide novel insights into early human embryogenesis. Our findings suggest (1) endogenous mutational rate that is higher in the first cell division of life but decreases to ~1 per cell per cell division later in life, (2) universal unequal contribution of early cells into embryo proper resulting from early cellular bottlenecks that stochastically separate epiblasts from embryonic cells (3) uneven differential outcomes of early cells into three germ layers, left-right and cranio-caudal tissues, (4) emergence of a few ancestral cells that will contribute to the substantial fraction of adult blood cells, and (5) presence of mitochondrial DNA heteroplasmy in the fertilized egg. Our approach additionally provides insights into the age-related mutational processes including UV-mediated mutagenesis and loss of chromosome X or Y in normal somatic cells. Taken together, this study scrutinized somatic mosaicism, clonal architecture, and cellular dynamics in human embryogenesis at an unprecedented level and provides a foundation for future studies to complete cellular phylogenies in human embryogenesis.

genomics↗

bioRxiv2020

Design to Data for mutants of β-glucosidase B from Paenibacillus polymyxa: L171M, H178M, M221L, E406W, N160E, F415M

Computational protein design is growing in popularity as a means to engineer enzymes. Currently, protein design algorithms can predict the stability and function of the enzymes to only a limited degree. Thus, further experimental data is required for training software to more accurately characterize the structure-function relationship of enzymes. To date, the Design2Data (D2D) database holds 129 single point mutations of {beta}-glucosidase B (BglB) characterized by kinetic and thermal stability biophysical parameters. In this study, we introduced six mutants into the BglB database and examined their catalytic activity and thermal stability: L171M, H178M, M221L, E406W, N160E, and F415M.

biochemistry↗

bioRxiv2020

The dynamic, combinatorial cis-regulatory lexicon of epidermal differentiation

Transcription factors (TFs) bind DNA sequence motif vocabularies in cis-regulatory elements (CREs) to modulate chromatin state and gene expression during cell state transitions. A quantitative understanding of how motif lexicons influence dynamic regulatory activity has been elusive due to the combinatorial nature of the cis-regulatory code. To address this, we undertook multi-omic data profiling of chromatin and expression dynamics across epidermal differentiation to identify 40,103 dynamic CREs associated with 3,609 dynamically expressed genes, then applied an interpretable deep learning framework to model the cis-regulatory logic of chromatin accessibility. This identified cooperative DNA sequence rules in dynamic CREs regulating synchronous gene modules with diverse roles in skin differentiation. Massively parallel reporter analysis validated temporal dynamics and cooperative cis-regulatory logic. Variants linked to human polygenic skin disease were enriched in these time-dependent combinatorial motif rules. This integrative approach reveals the combinatorial cis-regulatory lexicon of epidermal differentiation and represents a general framework for deciphering the organizational principles of the cis-regulatory code in dynamic gene regulation. HIGHLIGHTSO_LIAn integrative multi-omic resource profiling chromatin and expression dynamics across keratinocyte differentiation C_LIO_LIPredictive deep learning models of chromatin dynamics reveal a high-resolution cis-regulatory DNA motif lexicon of epidermal differentiation C_LIO_LIModel interpretation enables discovery of combinatorial cis-regulatory logic of homotypic and heterotypic motif combinations C_LIO_LIMassively parallel reporter experiments validate temporal dynamics and cis-regulatory logic of the combinatorial motif lexicon C_LI

genomics↗

bioRxiv2020

Theoretical basis for stabilizing messenger RNA through secondary structure design

RNA hydrolysis presents problems in manufacturing, long-term storage, world-wide delivery, and in vivo stability of messenger RNA (mRNA)-based vaccines and therapeutics. A largely unexplored strategy to reduce mRNA hydrolysis is to redesign RNAs to form double-stranded regions, which are protected from in-line cleavage and enzymatic degradation, while coding for the same proteins. The amount of stabilization that this strategy can deliver and the most effective algorithmic approach to achieve stabilization remain poorly understood. Here, we present simple calculations for estimating RNA stability against hydrolysis, and a model that links the average unpaired probability of an mRNA, or AUP, to its overall hydrolysis rate. To characterize the stabilization achievable through structure design, we compare AUP optimization by conventional mRNA design methods to results from more computationally sophisticated algorithms and crowdsourcing through the OpenVaccine challenge on the Eterna platform. These computational tests were carried out on both model mRNAs and COVID-19 mRNA vaccine candidates. We find that rational design on Eterna and the more sophisticated algorithms lead to constructs with low AUP, which we term superfolder mRNAs. These designs exhibit wide diversity of sequence and structure features that may be desirable for translation, biophysical size, and immunogenicity, and their folding is robust to temperature, choice of flanking untranslated regions, and changes in target protein sequence, as illustrated by rapid redesign of superfolder mRNAs for B.1.351, P.1, and B.1.1.7 variants of the prefusion-stabilized SARS-CoV-2 spike protein. Increases in in vitro mRNA half-life by at least two-fold appear immediately achievable. Significance statementMessenger RNA (mRNA) medicines that encode and promote translation of a target protein have shown promising use as vaccines in the current SARS-CoV-2 pandemic as well as infectious diseases due to their speed of design and manufacturing. However, these molecules are intrinsically prone to hydrolysis, leading to poor stability in aqueous buffer and major challenges in distribution. Here, we present a principled biophysical model for predicting RNA degradation, and demonstrate that the stability of any mRNA can be increased at least two-fold over conventional design techniques. Furthermore, the predicted stabilization is robust to post-design modifications. This conceptual framework and accompanying algorithm can be immediately deployed to guide re-design of mRNA vaccines and therapeutics to increase in vitro stability.

biophysics↗