Request Demo

Last update 08 May 2025

Fominoben Hydrochloride

Last update 08 May 2025

Overview

R&D Status

Clinical Result

Translational Medicine

Overview

Basic Info

Drug Type

Small molecule drug

Synonyms

Fominoben

+ [2]

Target-

Action-

Mechanism-

Therapeutic Areas

Respiratory Diseases

Active Indication

Cough

Inactive Indication-

Originator Organization-

Active Organization-

Inactive Organization-

License Organization-

Drug Highest PhaseApproved

First Approval Date-

Regulation-

Structure/Sequence

Molecular FormulaC21H24ClN3O3

InChIKeyKSNNEUZOAFRTDS-UHFFFAOYSA-N

CAS Registry18053-31-1

View All Structures (2)

100 Clinical Results associated with Fominoben Hydrochloride

100 Translational Medicine associated with Fominoben Hydrochloride

100 Patents (Medical) associated with Fominoben Hydrochloride

115

Literatures (Medical) associated with Fominoben Hydrochloride

01 Apr 2022·Combinatorial Chemistry & High Throughput ScreeningQ4 · MEDICINE

The Life Cycle and in silico Elucidation of Non-structural Replicating Proteins of HCV Through a Pharmacoinformatics Approach

Q4 · MEDICINE

Article

Author: Sehgal, Sheikh Arslan ; Tahir, Rana Adnan ; Jawad, Ayesha ; Mughal, Sumera ; Waqas, Muhammad ; Noureen, Asma ; Nazir, Amina

Background:Hepatitis C virus (HCV) is an enveloped and positive-stranded RNA virus that is a major causative agent of chronic liver diseases worldwide. HCV has become the main cause of liver transplantations and there is no effective drug for all hepatitis genotypes. Elucidation of life cycle and nonstructural proteins of HCV involved in viral replication are the attractive targets for the development of antiviral drugs. Methods:In this work, pharmacoinformatics approaches coupled with docking analyses were applied on HCV nonstructural proteins to identify the novel potential hits and HCV drugs. Molecular docking analyses were carried out on HCV approved drugs followed by the ligand-based pharmacophore generation to screen the antiviral libraries for novel potential hits. Results:Virtual screening technique has made known the top-ranked five novel compounds (ZINC00607900, ZINC03635748, ZINC03875543, ZINC04097464, and ZINC12503102) along with the least binding energy (-8.0 kcal/mol, -6.1 kcal/mol, -7.5 kcal/mol, -7.4 kcal/mol, and -7.3 kcal/mol respectively) and stability with non-structural proteins target.Conclusion: These promising hits exhibited better absorption and ADMET properties as compared to the selected drug molecules. These potential compounds extracted from in silico approach may be significant in drug design and development against Hepatitis and other liver diseases.

02 Feb 2022·Journal of Agricultural and Food ChemistryQ1 · AGRICULTURAL & FORESTRY SCIENCE

Prediction of Collision Cross Section Values: Application to Non-Intentionally Added Substance Identification in Food Contact Materials

Q1 · AGRICULTURAL & FORESTRY SCIENCE

Article

Author: Damiani, Tito ; Canellas, Elena ; Song, Xue-Chao ; Dreolin, Nicola ; Nerin, Cristina

The synthetic chemicals in food contact materials can migrate into food and endanger human health. In this study, the traveling wave collision cross section in nitrogen values of more than 400 chemicals in food contact materials were experimentally derived by traveling wave ion mobility spectrometry. A support vector machine-based collision cross section (CCS) prediction model was developed based on CCS values of food contact chemicals and a series of molecular descriptors. More than 92% of protonated and 81% of sodiated adducts showed a relative deviation below 5%. Median relative errors for protonated and sodiated molecules were 1.50 and 1.82%, respectively. The model was then applied to the structural annotation of oligomers migrating from polyamide adhesives. The identification confidence of 11 oligomers was improved by the direct comparison of the experimental data with the predicted CCS values. Finally, the challenges and opportunities of current machine-learning models on CCS prediction were also discussed.

06 Sep 2021·Journal of Cell BiologyQ1 · BIOLOGY

Small-molecule modulators of INAVA cytosolic condensate and cell–cell junction assemblies

Q1 · BIOLOGY

Article

Author: Lencer, Wayne I. ; LeBarron, Jamie ; Barrett, Lee ; Chang, Denis ; Luong, Phi ; Anderson, Michael ; Li, Qian

Epithelial cells lining mucosal surfaces distinctively express the inflammatory bowel disease risk gene INAVA. We previously found that INAVA has dual and competing functions: one at lateral membranes where it affects mucosal barrier function and the other in the cytosol where INAVA enhances IL-1β signal transduction and protein ubiquitination and forms puncta. We now find that IL-1β–induced INAVA puncta are biomolecular condensates that rapidly assemble and physiologically resolve. The condensates contain ubiquitin and the E3 ligase βTrCP2, and their formation correlates with amplified ubiquitination, suggesting function in regulation of cellular proteostasis. Accordingly, a small-molecule screen identified ROS inducers, proteasome inhibitors, and inhibitors of the protein folding chaperone HSP90 as potent agonists for INAVA condensate formation. Notably, inhibitors of the p38α and mTOR pathways enhanced resolution of the condensates, and inhibitors of the Rho–ROCK pathway induced INAVA’s competing function by recruiting INAVA to newly assembled intercellular junctions in cells where none existed before.

100 Deals associated with Fominoben Hydrochloride

External Link

KEGG	Wiki	ATC	Drug Bank
-	Fominoben Hydrochloride	R05D	DB08968

R&D Status

10 top approved records.

to view more data

Indication	Country/Location	Organization	Date
Cough	-	-	-

Clinical Result

Indication

Phase

Evaluation

View All Results

Translational Medicine

Boost your research with our translational medicine data.

view full example data

Deal

Boost your decision using our deal data.

view full example data

Core Patent

Boost your research with our Core Patent data.

view full example data

Clinical Trial

Identify the latest clinical trials across global registries.

view full example data

Approval

Accelerate your research with the latest regulatory approval information.

view full example data

Regulation

Understand key drug designations in just a few clicks with Synapse.

view full example data

Chat with Hiro

Get started for free today!

Accelerate Strategic R&D decision making with Synapse, PatSnap’s AI-powered Connected Innovation Intelligence Platform Built for Life Sciences Professionals.

Start your data trial now!

Synapse data is also accessible to external entities via APIs or data packages. Empower better decisions with the latest in pharmaceutical intelligence.

Bio

Bio Sequences Search & Analysis

Chemical

Chemical Structures Search & Analysis