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Molecule Generator Articles & Analysis

15 articles found

Exosome Lipidomics and Metabolomics: A New Frontier in Disease Diagnosis and Therapy

Exosome Lipidomics and Metabolomics: A New Frontier in Disease Diagnosis and Therapy

Exosomes, small vesicles released by cells, play an increasingly prominent role in intercellular communication and disease modulation. These nano-sized particles contain a diverse array of molecular cargo, including proteins, lipids, RNA, and metabolites, which serve as biomarkers for a variety of physiological conditions. Exosome lipidomics and metabolomics are key fields that focus on profiling ...

ByCreative Biostructure


Targeting RNA Splicing: Mechanisms and Strategies   

Targeting RNA Splicing: Mechanisms and Strategies  

What Is RNA Splicing? RNA splicing is a post-transcriptional modification process that occurs in eukaryotic cells. When a gene is transcribed, the initial RNA product is called pre-mRNA, which contains both coding regions (exons) and non-coding regions (introns). RNA splicing removes the introns from the pre-mRNA molecule and joins together the exons to form a mature mRNA molecule that can be ...

ByCD Genomics


Antibody-Drug Conjugates: New Strategies of ADC Payloads

Antibody-Drug Conjugates: New Strategies of ADC Payloads

The concept of ADCs was first proposed by Nobel Prize winner Paul Ehrlich in 1913. But it was not until 1975, when hybridoma technology began to be used to produce monoclonal antibodies, that the era of ADC drug development truly began. Driven by increasingly mature technology, ADC drugs have gone through three iterations (Fig. 1). Although ADCs have gone through three iterations, current ...

ByBOC Sciences


RNA Splicing and How to Target It

RNA Splicing and How to Target It

What Is RNA Splicing? RNA splicing is a post-transcriptional modification process that occurs in eukaryotic cells. When a gene is transcribed, the initial RNA product is called pre-mRNA, which contains both coding regions (exons) and non-coding regions (introns). RNA splicing removes the introns from the pre-mRNA molecule and joins together the exons to form a mature mRNA molecule that can be ...

ByCD Genomics


Exploring the Potential Applications of Fluorescent Microspheres

Exploring the Potential Applications of Fluorescent Microspheres

Microspheres are small spherical entities formed by dispersing or adsorbing drugs in a polymer matrix. The particle size is typically between 1 μm and 250 μm, and the largest can reach more than 800 μm. Microsphere technology is at the intersection of cutting-edge disciplines such as materials science, polymer technology, medical technology, and microelectronics. Once injected into the ...

ByCD Formulation


Brief Introduction of ADC Drug Production Technology

Brief Introduction of ADC Drug Production Technology

Drug-to-antibody ratio (DAR, drug-to-antibody ratio) The number of cytotoxic drugs connected to each antibody is the drug-to-antibody ratio (DAR). When the DAR increases, the drug metabolism rate of ADC drugs increases, the half-life decreases, and the systemic toxicity increases. Ideally, when the DAR is 4, the drug has the highest efficacy. Therefore, in actual production, the drugs with DAR ...

ByBOC Sciences


PEG Linkers for Antibody Drug Conjugates

PEG Linkers for Antibody Drug Conjugates

Antibody-drug conjugate (ADC) is one of the fastest growing fields in tumor therapy, which consists of monoclonal antibody (Antibody), linker (Linker) and active drug (Payload). So far, there are only 15 drugs on the market in the world. However, with the development of some perfect antibody modification techniques, advanced site-specific coupling techniques and powerful small-molecule toxins, ...

ByBiopharma PEG Scientific Inc


RetroGNN: Fast Estimation of Synthesizability for Virtual Screening and De Novo Design by Learning from Slow Retrosynthesis Software

RetroGNN: Fast Estimation of Synthesizability for Virtual Screening and De Novo Design by Learning from Slow Retrosynthesis Software

Abstract De novo molecule design algorithms often result in chemically unfeasible or synthetically inaccessible molecules. A natural idea to mitigate this problem is to bias these algorithms toward more easily synthesizable molecules using a proxy score for synthetic accessibility. However, using currently available proxies can still result in highly unrealistic compounds. Here, we propose a ...

ByMolecule One sp. z o.o.


Protein degradation therapy development: SWOT   

Protein degradation therapy development: SWOT  

The Dana-Farber Cancer Institute utilized SWOT analysis to targeted protein degradation drug development to better evaluate the approach's strengths, weaknesses, opportunities, and threats. SWOT (Strengths-Weaknesses-Opportunities-Threats) analysis is frequently used in business development and strategic planning, but it may also be used to critically analyze quickly evolving fields, as the ...

ByCreative Biolabs


Key points to succeed in Artificial Intelligence drug discovery projects

Key points to succeed in Artificial Intelligence drug discovery projects

Abstract Drug discovery and development is an expensive, complex, and time-consuming task [5]. Recently, the development of artificial intelligence (AI) approaches to drug discovery, specifically de novo drug design through the use of deep generative models, has triggered a lot of interest in the drug hunter community, especially as an important tool to speed up the process ...

ByIktos


Integrating Synthetic Accessibility with AI-based Generative Drug Design

Integrating Synthetic Accessibility with AI-based Generative Drug Design

Abstract Generative models are frequently used for de novo design in drug discovery projects to propose new molecules. However, the question of whether or not the generated molecules can be synthesized is not systematically taken into account during generation, even though being able to synthesize the generated molecules is a fundamental requirement for such methods to be useful in practice. ...

ByIktos


How to Calculate the Excited State

How to Calculate the Excited State

Due to the bondage of the electric field of the nucleus, electrons in atoms, ions, or molecules generally have many different energy levels. When at the lowest possible energy level, the electrons in these molecules are in the ground state, and when at a higher energy level, these electrons are transferred to the excited state. As the electron grows from the ground state to the excited state, the ...

ByCD ComputaBio


What Are Potentials in Molecular Dynamics Simulation?

What Are Potentials in Molecular Dynamics Simulation?

Introduction The atoms in biomolecules are always in constant motion, and the functions of molecules and the interactions between them are closely related to the dynamics of the molecules involved. In other words, to understand the working mechanism of proteins or other biomolecules, molecular biologists must first be able to clearly know the movement patterns of these biomolecules, and can ...

ByCD ComputaBio


Chimeric Molecules as Adversarial Training Examples for Machine Learning

Chimeric Molecules as Adversarial Training Examples for Machine Learning

Abstract The application of machine learning techniques to cheminformatics data has accelerated tremendously in recent years. In particular, deep learning architectures show considerable promise in being able to extract patterns and features from large datasets that aren’t readily obvious to human experts or apparent with hand-crafted features. With this larger modeling capacity comes ...

ByAtomwise Inc.


Identification and analysis of epitope-based malarial vaccine targets using computational biology

Identification and analysis of epitope-based malarial vaccine targets using computational biology

Malaria is a vector-borne infectious disease caused by protozoan parasite of the genus Plasmodium. The malaria vaccine which has been studied is designed to induce immunity to the sporozoite and to kill sporozoite-infected liver cells. A combination of bioinformatics approach and computational tools are used to screen and select antigen sequences as potential T-cell epitopes of supertype human ...

ByInderscience Publishers

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