Cytion SA (TransSense Sarl)

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Large language models (LLMs) have shown strong performance in tasks across domains but struggle with chemistry-related problems. These models also lack access to external knowledge sources, limiting their usefulness in scientific applications. We introduce ...

Sample efficiency is a fundamental challenge in de novo molecular design. Ideally, molecular generative models should learn to satisfy a desired objective under minimal calls to oracles (computational property predictors). This problem becomes more apparen ...

Retinoblastoma, while relatively rare, stands as the most prevalent intraocular cancer. In Switzerland, the survival rate approaches 100%, but it drops to less than 50% in low-income countries. The current treatment options for retinoblastoma rely on a lim ...

The discovery of a drug requires over a decade of intensive research and financial investments – and still has a high risk of failure. To reduce this burden, we developed the NICEdrug.ch resource, which incorporates 250,000 bioactive molecules, and studied ...

Organoids allow the recapitulation of intestinal homeostasis and cancerogenesis in vitro; however, RNA sequencing (RNA-seq)-based methods for drug screens are missing. We develop targeted organoid sequencing (TORNADO-seq), a high-throughput, high-content d ...

Drug discovery is a complex, multistep process, in which many challenges need to be overcome at each stage, from the discovery of a biomolecular target to the ensuring of the efficacy and safety of a compound in humans. Today's analytical methods allow ten ...

Macrocycles provide an attractive modality for drug development, but generating ligands for new targets is hampered by the limited availability of large macrocycle libraries. We have established a solution-phase macrocycle synthesis strategy in which three ...

Cross-coupling of two alkyl fragments is an efficient method to produce organic molecules rich in sp(3)-hybridized carbon centres, which are attractive candidate compounds in drug discovery. Enantioselective C(sp(3))-C(sp(3)) coupling is challenging, espec ...

New drugs are needed to assure effective therapies for previously untreated diseases, emerging diseases, and personalized medicine, but the process of drug development is complex, costly, and time-consuming. This is especially problematic considering that ...

Drug discovery and development are among the most important translational science activities that contribute to human health and wellbeing. However, the development of a new drug is a very complex, expensive, and long process which typically costs 2.6 bill ...

Well-validated chemical probes enable testing of biological hypotheses, investigation of target tractability and translatability to the clinical phase. Consequently, these important tool compounds play a key role in the drug discovery process. Moreover, th ...

Worldwide, tuberculosis (TB) is the leading cause of death due to a single infectious agent, claiming 1.6 million human lives and causing >10 million new cases in 2017 alone, mostly in low-income regions. The intracellular pathogen Mycobacterium tuberculos ...

Macozinone (MCZ) is a tuberculosis (TB) drug candidate that specifically targets the essential flavoenzyme DprE1, thereby blocking synthesis of the cell wall precursor decaprenyl phosphoarabinose (DPA) and provoking lysis of Mycobacterium tuberculosis. As ...

Tuberculosis (TB), whose etiological agent is Mycobacterium tuberculosis (M. tuberculosis), has plagued humanity since antiquity. Even with chemotherapy available today, TB is the leading cause of death due to an infectious disease. Modern day factors, suc ...

With the advent of high-throughput and genome-wide screening initiatives, there is a need for improved methods for cell-based assays. Current approaches require expensive equipment, rely on large-scale culturing formats not suited for small or rare sample ...

Hv1 is a transmembrane four-helix bundle that transports protons in a voltage-controlled manner. Its crucial role in many pathological conditions, including cancer and ischemic brain damage, makes Hv1 a promising drug target. Starting from the recently sol ...

The global emergence of multi-drug resistant bacteria invokes an urgent and imperative necessity for the identification of novel antimicrobials. The general lack of success in progressing novel chemical entities from target-based drug screens have prompted ...

Drug discovery and development is a high-risk enterprise that requires significant investments in capital, time and scientific expertise. The studies of xenobiotic metabolism remain as one of the main topics in the research and development of drugs, cosmet ...

The detection of molecules that can bind to active sites of protein targets and the measurement of their affinities is a promising application of NMR. Nowadays, the screening of drug candidates is routinely done by NMR in pharmaceutical industry. We have p ...

Two-metal-ion-dependent nucleases cleave the phosphodiester bonds of nucleic acids via the two-metal-ion (2M) mechanism. Several high-resolution X-ray structures portraying the two-metal-aided catalytic site, together with mutagenesis and kinetics studies, ...

Cytion SA (TransSense Sarl)

Chat with Graph Search

Augmenting large language models with chemistry tools

Augmented Memory: Sample-Efficient Generative Molecular Design with Reinforcement Learning

Optimised three-dimensional in vitro retinoblastoma models tailored for drug discovery and clinical translatability

NICEdrug.ch, a workflow for rational drug design and systems-level analysis of drug metabolism

High-content, targeted RNA-seq screening in organoids for drug discovery in colorectal cancer

Miniaturized technologies for high-throughput drug screening enzymatic assays and diagnostics - A review

Macrocycle synthesis strategy based on step-wise “adding and reacting” three components enables screening of large combinatorial libraries

Enantioselective C(sp(3))-C(sp(3)) cross-coupling of non-activated alkyl electrophiles via nickel hydride catalysis

Algorithms and flowchart for the design of synthetic biochemical networks

Advancing Drug Discovery via Artificial Intelligence

Design and validation of bioorthogonal probes for cellular disease models

Innovative Tools and in vivo Methods for Tuberculosis Drug Discovery and Development

Structure-Based Drug Design and Characterization of Sulfonyl-Piperazine Benzothiazinone Inhibitors of DprE1 from Mycobacterium tuberculosis

More Medicines for Tuberculosis: Fuelling Drug Discovery against Mycobacterium tuberculosis

Microfluidic platforms for high-throughput mammalian cell printing, transfection, and dosage-dependent studies

On the role of water density fluctuations in the inhibition of a proton channel

Next-generation antimicrobials: from chemical biology to first-in-class drugs

Antihypertensive drugs metabolism: an update to pharmacokinetic profiles and computational approaches

Exploring Ligand Affinities for Proteins by NMR of Long-Lived States

Catalytic Metal Ions and Enzymatic Processing of DNA and RNA