Meet ApplyKite Twin, the application assistant that learns with you

Meet your Twin, it learns with you

Your Twin learns with you

Launch week codes:30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Ratul Bhowmik

Has grant

Researcher

University of Tampere

Finland

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Explore related searches

Professors in Finland Professors in Pharmaceutical Chemistry Pharmaceutical Chemistry professors in Finland

Recent Grants

Grant: Open

Development of precision medicine methods for the treatment of tuberculosis in patients with multiple diseases

Open Date: 2027-01-01

Close Date: 2028-12-01

Grant: Open

Tarkkuuslääketieteellinen lähestymistapa tuberkuloosiin liittyviin liitännäissairauksiin: tekoälyn, antimikrobiresistenssin ja infektiobiologian yhdistäminen

Open Date: 2026-01-01

Close Date: 2026-12-01

Grant: Close

Multi-omics and artificial intelligence-guided precision medicine approaches to improve tuberculosis treatment in patients with type 2 diabetes

Open Date:

Close Date:

Articles (20)

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Collaborators (7)

Ashok Aspatwar

Adjunct Professor

University of Tampere

FINLAND

View details

Fabrizio Carta

University of Florence

ITALY

View details

Claudiu T Supuran

University of Florence

ITALY

View details

Seppo Parkkila

Dean

University of Tampere

FINLAND

View details

Ilaria D'Agostino

University of Pisa

ITALY

View details

Akanksha Kulshreshtha

ASSISTANT PROFESSOR

Netaji Subhas University of Technology

View details

Kamal A. Qureshi

SAUDI ARABIA

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Ratul Bhowmik

Research Interests

Make your next move.

Explore related searches

Recent Grants

Articles (20)

Prognostic implications of TIMP1 gene expression in colon Adenocarcinoma: structural and functional consequences of non-synonymous SNP variants

Systematic modeling of porphyrin-based photosensitizers for inhibiting Mycobacterium tuberculosis β-Carbonic Anhydrases

Unveiling Carbonic Anhydrase VIII, X, XI Expression in Cancer and Neurological Diseases Through Integrated Bioinformatics Approaches

Immunopathogenesis of TB-HIV Co-Infection: Mechanisms of Dual Immune Suppression and Viral–Bacterial Synergy

Integrated <i>in silico</i> and <i>in vitro</i> screening approaches for the discovery of small-molecule inhibitors of β-carbonic anhydrases

A Predictive ML-QSAR Approach for Targeting GSK-3β in Alzheimer's Disease

An integrated network-based approach to elucidate the molecular mechanism behind Tuberculosis and HIV co-infection

Combating Drug Resistance in Mycobacterium Tuberculosis

Computational and Experimental Characterization of Mycobacterium marinum β-Carbonic Anhydrase Inhibitors

Exploring the functional food potential of Zea mays using machine learning–based QSAR and network biology to identify anti-diabetic and anti-inflammatory phytochemicals

Machine Learning Models and Structure-Based Antibacterial Drug Discovery of the Key ABC Transporter Maltose-Binding Protein A

Two-dimensional QSAR-driven virtual screening for potential therapeutics against Trypanosoma cruzi

Integrated machine learning-driven QSAR modelling and systems biology approach for the identification of potential SARS-CoV-2 3CLpro inhibitors

Physiological modeling of the metaverse of the Mycobacterium tuberculosis β-CA inhibition mechanism

Elucidating molecular mechanism and chemical space of chalcones through biological networks and machine learning approaches

Machine learning-driven web-based app platform for the discovery of monoamine oxidase B inhibitors

A cheminformatics and network pharmacology approach to elucidate the mechanism of action of Mycobacterium tuberculosis γ-carbonic anhydrase inhibitors

Mycobacterial β-carbonic anhydrases

Navigating bioactivity space in anti-tubercular drug discovery through the deployment of advanced machine learning models and cheminformatics tools

Predicting the molecular mechanism-driven progression of breast cancer through comprehensive network pharmacology and molecular docking approach.

Collaborators (7)

Ashok Aspatwar

Fabrizio Carta

Claudiu T Supuran

Seppo Parkkila

Ilaria D'Agostino

Akanksha Kulshreshtha

Kamal A. Qureshi

Make your next move.