Abstract
Computer-aided design is one of the critical components of modern drug discovery. Drug development is routinely streamlined using computational approaches to improve hit identification and lead selection, enhance bioavailability, and reduce toxicity. A mounting body of genomic knowledge accumulated during the last decade or so presents great opportunities for pharmaceutical research. However, new challenges also arose because processing this large volume of data demands unprecedented computing resources. On the other hand, the state-of-the-art heterogeneous systems deliver petaflops of peak performance to accelerate scientific discovery. In this communication, we review modern parallel accelerator architectures, mainly focusing on Intel Xeon Phi many-core devices. Xeon Phi is a relatively new platform that features tens of computing cores with hundreds of threads offering massively parallel capabilities for a broad range of application. We also discuss common parallel programming frameworks targeted to this accelerator, including OpenMP, OpenCL, MPI and HPX. Recent advances in code development for many-core devices are described to demonstrate the advantages of heterogeneous implementations over the traditional, serial computing. Finally, we highlight selected algorithms, eFindSite, a ligand binding site predictor, a force field for bio-molecular simulations, and BUDE, a structure-based virtual screening engine, to demonstrate how modern drug discovery is accelerated by heterogeneous systems equipped with parallel computing devices.
Keywords: BUDE, drug discovery, eFindSite, parallel accelerators, programming frameworks, xeon phi.
Graphical Abstract
Call for Papers in Thematic Issues
Drug-Targeted Approach with Polymer Nanocomposites for Improved Therapeutics
Polymer nanocomposites have been recognized as an advanced and cutting-edge technique in drug targeting administration. These materials combine the unique features of nanoparticles with the adaptability of polymers to produce highly personalized drug administration devices. Integrating nanoparticles containing pharmaceuticals into a polymer matrix enables researchers to regulate the rates at ...read more
New drug therapy for eye diseases
Eyesight is one of the most critical senses, accounting for over 80% of our perceptions. Our quality of life might be significantly affected by eye disease, including glaucoma, diabetic retinopathy, dry eye, etc. Although the development of microinvasive ocular surgery reduces surgical complications and improves overall outcomes, medication therapy is ...read more
Therapeutic Chemical and RNA Design with Artificial Intelligence
Computer-Aided Drug Design (CADD) has emerged as a fundamental component of modern drug discovery. Molecular docking facilitates virtual screening on a large scale through structural simulations. However, traditional CADD approaches face significant limitations, as they can only screen known compounds from existing libraries. PubChem, as the most widely used chemical ...read more
Related Journals
Anti-Cancer Agents in Medicinal Chemistry
Anti-Inflammatory & Anti-Allergy Agents in Medicinal Chemistry
Current Bioactive Compounds
Current Cancer Drug Targets
Combinatorial Chemistry & High Throughput Screening
Current Cancer Therapy Reviews
Current Diabetes Reviews
Current Drug Safety
Current Drug Therapy
Current Drug Delivery
Related Books
Anthocyanins: Pharmacology and Nutraceutical Importance
Computer-Aided Drug Discovery Methods: A Brief Introduction
The Roles and Responsibilities of Clinical Pharmacists in Hospital Settings
Bioactive Compounds from Medicinal Plants for Cancer Therapy and Chemoprevention
Drug Addiction Mechanisms in the Brain
Software and Programming Tools in Pharmaceutical Research
Objective Pharmaceutics: A Comprehensive Compilation of Questions and Answers for Pharmaceutics Exam Prep
Medicinal Chemistry of Drugs Affecting Cardiovascular and Endocrine Systems
Medicinal Plants, Phytomedicines and Traditional Herbal Remedies for Drug Discovery and Development against COVID-19
Advanced Pharmacy
36
2
1
1
