In silico modeling employs computational methods to predict drug behavior, thereby significantly economizing both time and resources. Through the utilization of molecular docking simulations, this approach meticulously analyzes drug-target interactions, providing valuable insights into predicting therapeutic efficacy. In silico models systematically evaluate ADME properties, adeptly identifying potential issues at the early stages of drug development. Additionally, chemoinformatics facilitates the identification of lead compounds and refines molecular structures, while QSAR models quantitatively correlate chemical structure with pharmacological activity, offering a nuanced understanding of drug behavior. In the broader scope of pharmacology, computational methodologies contribute to personalized medicine by scrutinizing genetic and molecular data, tailoring drug treatments to individual profiles. The invaluable application of in silico methods in drug repurposing identifies existing drugs with untapped therapeutic potential against novel targets.
Title : Ectopically expressed olfactory receptors as an untapped family of drug targets and discovery of agonists and antagonists of OR51E1, an understudied G protein-coupled receptor
Vladlen Slepak, University of Miami Miller School of Medicine, United States
Title : Managing healthcare transformation towards personalized, preventive, predictive, participative precision medicine ecosystems
Bernd Blobel, University of Regensburg, Germany
Title : Analytical strategies for solid-state forms in drug development
Maria Cristina Gamberini, University of Modena e Reggio Emilia, Italy
Title : Understanding drug transport in plasma: The role of protein binding
Saad Tayyab, UCSI University, Malaysia
Title : Innovative development and delivery of biologics for chronic obstructive pulmonary disease
Yong Xiao Wang, Albany Medical College, United States
Title : Search for novel biomarkers and therapeutic targets for inflammatory disease
Madhav Bhatia, University of Otago, New Zealand
Title : Personalized and Precision Medicine (PPM) as a unique healthcare model through de-sign-inspired biotech- & biopharma-driven applications and upgraded business mar-keting to secure the human healthcare and biosafety
Sergey Suchkov, N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences & InMedStar, Russian Federation
Title : Design and evaluation of exo-itc: A bilayer fibrous system for controlled exosome delivery in dermatological applications
Luis Jesus Villarreal Gomez, FCITEC - Universidad AutĂłnoma de Baja California, Mexico
Title : Abuse-deterrent dosage form technique utilizing a fusion of innovative pharmaceuticals and ion exchange resin
Bhupendra Gopalbhai Prajapati, Parul University, India
Title : Macitentan/tadalafil combination– An additional value in pharmacotherapy of pulmonary arterial hypertension
Miroslav Radenkovic, University of Belgrade, Serbia