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Uralyt-K

✓ Approved

Rottapharm Madaus · Small Molecule · Small Molecule

What is Uralyt-K?

Uralyt-K is a small molecule developed by Rottapharm Madaus. It is approved for therapeutic indications via oral (po).

Drug Profile

CompanyRottapharm Madaus
Drug ClassSmall Molecule
RouteOral (PO)
StatusApproved
Sources: ClinicalTrials.gov, Rottapharm Madaus

Therapeutic Indications

Uralyt-K is developed for 1 unique indication across 1 therapeutic area.

Therapeutic AreaConditionPhase
Renal and urinary disordersCalculus urinary✓ Approved

Related Research Articles

PubMedbioRxiv : the preprint server for biology2026-07-17

Kernelized approach enables explainable gene prioritizations for complex traits.

Tan Taotao T, Samee Md Abul Hassan MAH

Genome-wide association studies (GWAS) have identified numerous variant-trait associations; yet, assigning effector genes to GWAS loci remains challenging. Similarity-based machine-learning methods, such as PoPS, prioritize effector genes from shared functional profiles among trait-relevant genes. These models assign a prioritization score for each gene and nominate a single effector gene within a GWAS locus. However, the scores provide limited insight into why a gene was prioritized or whether the nomination is biologically plausible. To address this gap, we introduce Kernelized Polygenic Priority Score, K-PoPS, a kernelized reformulation of PoPS that enables gene-centric explanations by decomposing each prediction into contributions from training genes. For each prioritized gene, K-PoPS reports top contributor genes and an anchor score that quantifies support from a user-defined set of trait-relevant genes. Across 38 Pan-UK Biobank traits, the full-feature OLS implementation underlying K-PoPS improved closest-gene enrichment relative to default PoPS for 26 of 37 evaluable traits. Across 25 traits with curated anchor sets, predictions supported by anchor scores were more enriched for closest-gene proxies than unsupported predictions. When applying to blood level apolipoprotein B, K-PoPS nominated SCARB1 over UBC gene, and further provided convincing explanations that support this prediction. Using explanation evidence, K-PoPS identified multiple plausible effector genes within a dilated cardiomyopathy locus, contrary to the parsimonious assumption. In summary, K-PoPS provides a post hoc framework for examining and interpreting GWAS effector-gene nominations.

PMID 42465433
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PubMedbioRxiv : the preprint server for biology2026-07-17

MKMC enables reference-free transcriptomic analysis using k-mer representations.

Mboning Lajoyce L, D-Lugosz Maciej M, Kokot Marek M, Chen Jingxun J et al.

Traditional RNA-seq analysis depends heavily on genome alignment and gene annotation, limiting its utility in non-model organisms and introducing biases that can obscure regulatory complexity. We present MKMC (Multi-sample Kmer Counter), a scalable, reference-free toolkit for RNA-seq analysis that leverages k-mer-based statistics to detect biological variation without requiring alignment. MKMC integrates fast k-mer counting, abundance matrix generation, normalization, dimensionality reduction, and differential analysis into a unified workflow. Across diverse datasets, MKMC recapitulates key biological signals-including sex differences in killifish liver-and matches alignment-based pipelines in differential expression analysis and transcriptomic age prediction. Notably, MKMC detects isoform-specific events missed by traditional methods, one of which we validated using in situ hybridization. These results reveal previously hidden isoform-level regulatory events that contribute to sex-and age-associated transcriptional programs. MKMC offers a robust, extensible alternative to alignment-based approaches, enabling transcriptomic discovery across both model and non-model systems. While we focus here on RNA-seq as a primary application, MKMC is broadly applicable to any k-mer-based analysis of next-generation sequencing data.

PMID 42465388
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PubMedInorganic chemistry2026-07-17

Bulkiness Makes the Difference: Modulating Solid-State Emission of Anticoronavirus Active Pt(tpy)C(O)NHCH2R Complexes Featuring Adamantyl vs Propargyl R Groups.

Klarek Mateusz M, Wysocka Daria D, Füllborn-Ott Judith J, Trzybiński Damian D et al.

Solid-state photoluminescence (PL) of Pt(II) terpyridine-type (tpy) complexes relies on intermolecular Pt···Pt metallophilic interactions, and it can be tuned through bulky substituents disturbing them. We took advantage of this property by designing the Pt(II) 2,2':6'2"-tpy complexes [L1PtCl]PF6 and [L2PtCl]PF6 bearing either propargyl or 1-adamantyl connected to the tpy ligand. At 293 K, PL spectra of both complexes are characterized by broadband featureless orange-red emission (λPL ≈ 650 nm) characteristic of 3MMLCT excited states. This is an indication of short Pt···Pt contacts between individual molecules in powder. The PL spectra of [L1PtCl]PF6 and [L2PtCl]PF6 are significantly different from each other at 77 K. The former complex emits at 688 nm while the latter at 665 nm. This can be rationalized by the less sterically bulky ligand L1 promoting the formation of larger aggregates, while the more bulky L2 hinders this behavior. Unlike [L2PtCl]PF6, the monohydrate [L2PtCl]PF6·H2O shows a vibronically resolved 3MMLCT+ 3LC emission in powder form at λPL = 567 nm at 293 K and 560 nm at 77 K. Such behavior indicates relaxation of the Pt···Pt contacts caused by trapped water molecules. [L2PtCl]PF6 shows superior activity to [L1PtCl]PF6 against the HCoV-OC43 and influenza A viruses.

PMID 42466999
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PubMedThe journal of physical chemistry letters2026-07-17

Band Engineering via Charge Modulation Drives High Thermoelectric Performance in Conductive MOFs.

Kagdada Hardik L HL, Dettori R R, Colombo L L, Melis C C

Metal-organic frameworks (MOFs) are promising thermoelectric materials due to their low lattice thermal conductivity and tunable electronic properties. However, many conductive MOFs exhibit metallic behavior, leading to low Seebeck coefficients and high electronic thermal conductivity, which limit thermoelectric efficiency. We propose a band-engineering approach based on controlled charge modulation to tune the electronic structure by modifying the oxidation state of the metal centers. Using copper benzenehexathiol (CuBHT) as a model MOF, density functional theory, electron-phonon coupling, and Boltzmann transport calculations show that adjusting Cu+/Cu2+ states triggers a metal-to-semiconductor transition with a band gap, boosting the Seebeck coefficient and reducing electronic thermal conductivity. This increases zT by nearly 2 orders of magnitude. Further, optimization via 5% compressive strain increases the Seebeck coefficient to about 250 μV K-1 at 300 K (10 times higher than pristine) and achieves a maximum zT of 0.79 at 550 K, approaching the performance of established thermoelectric materials and surpassing most reported MOF-based systems.

PMID 42464812
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PubMedInternational journal of food science2026-07-17

A Multinutrient Clustering Framework for Personalized Food Recommendations.

Sarker Rajkumar R, Tanjim Kazi Farhan Hasan KFH

Personalized nutrition recommendations encounter difficulties in aligning users' dietary preferences with appropriate foods in extensive nutritional databases comprising thousands of products. This research introduces a multinutrient clustering framework that examines 8790 foods from the USDA National Nutrient Database for Standard Reference, Release 28, utilizing 23 nutritional attributes, including macronutrients, vitamins, and minerals. We thoroughly analyze K-means and agglomerative clustering algorithms across various configurations (k = 2 - 8), finding that K-means with eight clusters yields optimal performance, achieving a silhouette score of 0.273 and semantically interpretable dietary categories. The suggested technique shows a 46.4% improvement over suggestions based on popularity and a 273.0% improvement over recommendations based on a single nutrient. This was shown by a thorough evaluation utilizing Precision@K, NDCG, and fivefold cross-validation (mean silhouette 0.265 ± 0.006). Users can set their own dietary preferences using nutrient sliders, six preset configurations (high protein, low carb, high fiber, low sodium, high calcium, and low calorie), and three configurable weighting strategies (equal, prioritized 3×, and focus-only). The system then gives them real-time recommendations (in less than 2 s) with clear similarity scores. A systematic examination with 50 automated test questions shows that the system works well in a wide range of dietary situations. The huge effect sizes (46.4% and 273.0% improvements) suggest that the results are statistically significant. This research connects computational nutrition studies with real-world dietary advice. It offers an open-source, understandable system for evidence-based meal planning that fills important holes in current prediction and classification methods by allowing personalized, multinutrient food suggestions with clear reasoning behind the choices.

PMID 42466307
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PubMedScientific reports2026-07-17

Growth and yield response of sorghum to omission of nutrients under contrasting landscape positions in the semi-arid tropical environment.

Agegnehu Getachew G, Shewangizaw Beza B, Desta Gizaw G, Legesse Gizachew G et al.

This study aimed to identify sorghum yield-limiting nutrients, targeting landscape positions. Nutrient omission field trials were conducted across 52 sites under distinct landscape positions during the 2020 and 2022 cropping seasons. The fertilizer treatments were All blended (containing N, P, K, S, Zn, and B), All compound with the same nutrients, All individual with the same nutrients, 150% of All blended, 50% of All blended, All blended-K, All blended-S, All blended-Zn, All blended-B, NP-only, and control (no fertilizer). These treatments were arranged in a randomized complete block design with two to three replications under each landscape position. Results revealed that the yield response to the application of different nutrient sources at different rates significantly decreased with increasing slope, and yield among landscape positions was in the order of hillslope < mid-slope< foot-slope. Increasing the all-blended treatment by 50% increased grain yield by 44% and 147% over the application of 50% of all blended nutrients and the control, respectively. Yield differences among all blended, compound, and individual nutrient applications were not statistically significant. The omission of K, S, Zn, and B had no significant effect on yield compared with the recommended NP-only. Soil carbon, nitrogen, and phosphorus are deficient in the study areas. The average soil moisture content ranged from 5.9% to 28.7% across landscape positions, with the highest at the foot slope. Grain K, S, Zn, and B concentrations increased from the upper to the lower slope positions. Further research is suggested to explore a meaningful interaction between different levels of yield-limiting nutrients and landscape positions.

PMID 42463731
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