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Cinnamic Derivatives as Antitubercular Agents:...

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Cinnamic Derivatives as Antitubercular Agents: Characterization by Quantitative Structure–Activity Relationship Studies

Cátia Teixeira, Cristina Ventura, José R. B. Gomes, Paula Gomes, Filomena Martins

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Έτος:

2020

Εκδότης:

MDPI

Γλώσσα:

english

Σελίδες:

10

Αρχείο:

PDF, 610 KB

IPFS:

,

english, 2020

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Ίσως σας ενδιαφέρει

Romualdo Benigni — Quantitative structure-activity relationship (QSAR) models of mutagens and carcinogens

n a — 18th European Symposium on Quantitative Structure – Activity Relationships

Han Van De Waterbeemd — Advanced Computer-Assisted Techniques in Drug Discovery (Methods and Principles in Medicinal Chemistry, Vol 3)

Giovanni Stelitano, José Camilla Sammartino, Laurent Roberto Chiarelli — Multitargeting Compounds: A Promising Strategy to Overcome Multi‐Drug Resistant Tuberculosi

Alejandro Speck-Planche (Eds.) — Multi-Scale Approaches in Drug Discovery. From Empirical Knowledge to In Silico Experiments and Back

LEMONT B. KIER and LOWELL H. HALL (Eds.) — Molecular Connectivity in Chemistry and Drug Research

Peter Mager (Auth.) — Multidimensional Pharmacochemistry. Design of Safer Drugs

P N Kourounakis — Advanced Drug Design and Development: A Medicinal Chemistry Approach

Livingstone — Data Analysis for Chemists

Klaus Gundertofte, Fleming Steen Jørgensen — Molecular Modeling and Prediction of Bioactivity

Mark T.D. Cronin — Predicting chemical toxicity and fate

David J. Livingstone — A Practical Guide to Scientific Data Analysis

Livingstone D.N. — A Practical Guide to Scientific Data Analysis

Dastmalchi, Siavoush; Hamzeh-Mivehroud, Maryam; Sokouti, Babak — Quantitative Structure - Activity Relationship A Practical Approach

Barry K. Lavine (Eds.) — Chemometrics and Chemoinformatics

Alexandre Varnek, Alexander Tropsha — Chemoinformatics: An Approach to Virtual Screening

Kunal Roy — Chemometrics and Cheminformatics in Aquatic Toxicology

Mark T. D. Cronin (auth.), Tomasz Puzyn, Jerzy Leszczynski, Mark T. Cronin (eds.) — Recent Advances in QSAR Studies: Methods and Applications

B. Testa and L. Turski; Editors — Virtual ADMET Assessment in Target Selection and Maturation: Volume 6 Solvay Pharmaceutical Conferences

E.J. Ariëns (Eds.) — Drug Design

Hugh Cartwright (eds.) — Artificial Neural Networks

Emilio Benfenati — In Silico Methods for Predicting Drug Toxicity

Orazio Nicolotti — Computational Toxicology

Gisbert Schneider, Sung-Sau So — Adaptive Systems in Drug Design (Biotechnology Intelligence Unit, Volume 5)

Gerald M. Maggiora, Veerabahu Shanmugasundaram (auth.), Jürgen Bajorath (eds.) — Chemoinformatics: Concepts, Methods, and Tools for Drug Discovery

Madura, Jeffry D.; Ul-Haq, Zaheer — Frontiers in Computational Chemistry. Volume 2: Computer Applications for Drug Design and Biomolecular Systems

Ul-Haq Z., Madura J.D. — Frontiers in Computational Chemistry. Volume 2

Eduardo A. Castro, A. K. Haghi — Advanced Methods and Applications in Chemoinformatics: Research Progress and New Applications

Huma Lodhi — Chemoinformatics and Advanced Machine Learning Perspectives: Complex Computational Methods and Collaborative Techniques

Jürgen Bajorath — Chemoinformatics: Concepts, Methods, and Tools for Drug Discovery

James Devillers (auth.), Brad Reisfeld, Arthur N. Mayeno (eds.) — Computational Toxicology: Volume II

Mark T D Cronin; Judith C Madden — In silico toxicology : principles and applications

Mohammad Hossein Keshavarz — Toxicity: 77 Must-Know Predictions of Organic Compounds: Including Ionic Liquids

Aman Thakur, Vineet Mehta, Priyanka Nagu, Kiran Goutam — Computer-Aided Drug Design

R. Franke (editor); P. Oheme (editor) — Quantitative Structure-Activity Analysıs: Proceedings of the Second Symposium on Chemical Structure Biological Activity Relationships: Quantitative Approaches, Suhl, 1976

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