Deep learning and knowledge-based methods for computer-aided molecular design—toward a unified approach: State-of-the-art and future directions

AS Alshehri, R Gani, F You - Computers & Chemical Engineering, 2020 - Elsevier
methods and solution techniques, as well … -based methods and techniques, we survey the
current state-of-the-art applications of deep learning to molecular design as a fertile approach

Incorporating Machine Learning in Computer-Aided Molecular Design for Fragrance Molecules

YP Heng, HY Lee, JW Chong, RR Tan, KB Aviso… - Processes, 2022 - mdpi.com
… developed for designing and … Computer-aided molecular design (CAMD) approach is a
potential tool for the screening and/or design of fragrance molecules by predicting the molecular

Current trends in computer aided drug design and a highlight of drugs discovered via computational techniques: A review

VT Sabe, T Ntombela, LA Jhamba… - European Journal of …, 2021 - Elsevier
… applied in drug discovery for the systematic search of novel small molecules with biological
activity usually against a target protein molecule [18]. The backbone of this computational …

An updated review of computeraided drug design and its application to COVID‐19

AB Gurung, MA Ali, J Lee, MA Farah… - BioMed research …, 2021 - Wiley Online Library
… of novel drugs [15], and computer-aided drug design is believed to be an important tool to
achieve the identification of novel … lead molecules against COVID-19 by utilizing natural lead …

Guiding deep molecular optimization with genetic exploration

S Ahn, J Kim, H Lee, J Shin - Advances in neural …, 2020 - proceedings.neurips.cc
… the existing methods for de novo molecular design categorized … forward approach for solving
the de novo molecular design … Such methods formulate the generation of the molecules as …

A review on applications of computational methods in drug screening and design

X Lin, X Li, X Lin - Molecules, 2020 - mdpi.com
methods [65]. Structure-based de novo design method searches novel ligands by using
the 3D structural information of the protein target, which are usually constructed directly in the …

Optimal solvent design for extractive distillation processes: a multiobjective optimization-based hierarchical framework

T Zhou, Z Song, X Zhang, R Gani… - Industrial & …, 2019 - ACS Publications
… and use of computer-aided molecular design (CAMD) methods. CAMD, … based strategies
in the rational selection or design of … An integrated computer aided system for generation and …

Computational drug design methods—current and future perspectives

FD Prieto-Martínez, E López-López… - In silico drug design, 2019 - Elsevier
… of novel methods, such as computer-aided drug repurposing. Similarly we present emerging
concepts and technologies in molecular … of traditional and novel CADD methods to increase …

Data-driven strategies for accelerated materials design

R Pollice, G dos Passos Gomes… - Accounts of Chemical …, 2021 - ACS Publications
… (3)The proposal of a genetic algorithm enhanced by a neural network for inverse molecular
design that can avoid convergence and bias molecule generation based on existing data …

[HTML][HTML] Molecular modeling in drug discovery

TI Adelusi, AQK Oyedele, ID Boyenle… - Informatics in Medicine …, 2022 - Elsevier
Molecular docking is an in silico method for recognizing the correct binding pose of a …
selecting the best pose generated by each molecule to a rank-order [9]. The docking techniques