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Conference Series has been instrumental in conducting international meetings for seven years, and very excited to expand Europe, America and Asia Pacific continents. Previous meetings were held in major cities like Belgium, Tokyo, Madrid, with success the meetings again scheduled in three continents. It's time to announce 9th Annual Congress on Drug Formulation & Drug Design October 19-21, 2017 Seoul, South Korea . Drug Formulation 2017 is a 3-day event offering the Exhibition, at venue to showcase the research and development on emerging technologies and have wider sessions involving Keynote presentation, Oral, YRF ( student presentation), poster, e-poster presentations. This is an excellent platform to intensify collaborations for Professionals Scientific Experts and Industrial Delegates for Pharma field knowledge seekers. Global Pharmaceutical Industry in its operation and innovation activities is now facing serious challenges resulted by mega trends in healthcare paradigm. Korean R&D-based pharmaceutical companies have been involving in pioneering unmet medical needs areas investing over 65% to their annual net profit with the strong support from the Korean government. Modern pharmaceutical industry in Korea has 110 years of history initiating at the end of the 1800s, when a first modern pharmaceutical company began its operation. However, the South Korea region represents a significant growth opportunity for the Drug Formulation market during the forecast period of 2014 to 2019. Everyone interested in the future of emerging –drugs majorly in the field drug discovery, design, drug development, pharmacokinetic research, clinical pharmacology and new therapeutic drugs on recent developments in the field of generic drug research, current challenges and possibilities in modeling a new drug involving Drug Formulaton & Drug Design Reasearch Who to attend: CEOs, CROs, Directors, Managers and research associates in pharmaceutical industry in the drug or device industries (both innovator and generic) ...

The role of molecular modeling in drug design has experienced a significant revamp in the last decade. The increase in computational resources and molecular models, along with software developments, is finally introducing a competitive advantage in early phases of drug discovery. Medium and small companies with strong focus on computational chemistry are being created, some of them having introduced important leads in drug design pipelines. An important source for this success is the extraordinary development of faster and more efficient techniques for describing flexibility in three‐dimensional structural molecular modeling. At different levels, from docking techniques to atomistic molecular dynamics, conformational sampling between receptor and drug results in improved predictions, such as screening enrichment, discovery of transient cavities, etc. In this review article we perform an extensive analysis of these modeling techniques, dividing them into high and low throughput, and emphasizing in their application to drug design studies. We finalize the review with a section describing our Monte Carlo method, PELE, recently highlighted as an outstanding advance in an international blind competition and industrial benchmarks. ; We acknowledge the BSC-CRG-IRB Joint Research Program in Computational Biology. This work was supported by a grant from the Spanish Government CTQ2016-79138-R.J.I. acknowledges support from SVP-2014-068797, awarded by the Spanish Government. ; Peer Reviewed ; Postprint (author's final draft)

The role of molecular modeling in drug design has experienced a significant revamp in the last decade. The increase in computational resources and molecular models, along with software developments, is finally introducing a competitive advantage in early phases of drug discovery. Medium and small companies with strong focus on computational chemistry are being created, some of them having introduced important leads in drug design pipelines. An important source for this success is the extraordinary development of faster and more efficient techniques for describing flexibility in three‐dimensional structural molecular modeling. At different levels, from docking techniques to atomistic molecular dynamics, conformational sampling between receptor and drug results in improved predictions, such as screening enrichment, discovery of transient cavities, etc. In this review article we perform an extensive analysis of these modeling techniques, dividing them into high and low throughput, and emphasizing in their application to drug design studies. We finalize the review with a section describing our Monte Carlo method, PELE, recently highlighted as an outstanding advance in an international blind competition and industrial benchmarks. ; We acknowledge the BSC-CRG-IRB Joint Research Program in Computational Biology. This work was supported by a grant from the Spanish Government CTQ2016-79138-R.J.I. acknowledges support from SVP-2014-068797, awarded by the Spanish Government. ; Peer Reviewed ; Postprint (author's final draft)

Protein Reviews, a new book series from Springer, covers all aspects of protein investigations including protein chemistry, sequence, 3-D structure, biological activity, proteomics, methodology, and many more new and emerging topics. Volume 1: Viral Membrane Proteins: Structure, Function and Drug Design Edited by Wolfgang B. Fischer This volume, written by renowned leaders in the field, summarizes the current structural and functional knowledge of membrane proteins encoded by viruses while addressing questions about the proteins as potential drug targets. Early praise for this volume: "We all know that you can't treat viral disease with drugs ... That was what all physicians and scientists were taught for decades with conviction but without enough experiments. Fortunately, we were taught wrong: rationally designed drugs are available that work well against influenza as Garman and Laver describe so well (with the help of Wen Yang Wu) in a fascinating chapter of this book. In fact, viral membrane proteins have a range of functions of great medical and biological importance, not so surprisingly if one understands that membrane proteins control a wide range of function because they are gatekeepers for cells. Membrane proteins control entry into cells and viruses. Viral Membrane Proteins" is a wonderful description of some of these proteins. The authors and editor are to be congratulated on producing much more than a collection of reviews and essays. This book can help teach everyone that it is possible to treat viral disease with drugs that bind to membrane proteins. Knowing that, we can hope that more resources will be focused on finding other such drugs to the remaining scourges of mankind, at least those we do not produce ourselves."--Robert S. Eisenberg, Rush University Medical Center, Chicago, IL <.

Flaviviridae are small enveloped viruses hosting a positive-sense single-stranded RNA genome. Besides yellow fever virus, a landmark case in the history of virology, members of the Flavivirus genus, such as West Nile virus and dengue virus, are increasingly gaining attention due to their re-emergence and incidence in different areas of the world. Additional environmental and demographic considerations suggest that novel or known flaviviruses will continue to emerge in the future. Nevertheless, up to few years ago flaviviruses were considered low interest candidates for drug design. At the start of the European Union VIZIER Project, in 2004, just two crystal structures of protein domains from the flaviviral replication machinery were known. Such pioneering studies, however, indicated the flaviviral replication complex as a promising target for the development of antiviral compounds. Here we review structural and functional aspects emerging from the characterization of two main components (NS3 and NS5 proteins) of the flavivirus replication complex. Most of the reviewed results were achieved within the European Union VIZIER Project, and cover topics that span from viral genomics to structural biology and inhibition mechanisms. The ultimate aim of the reported approaches is to shed light on the design and development of antiviral drug leads.

This chapter summarizes the most representative software packages that readily allow running Monte Carlo (MC) simulations in relevant scenarios for drug design. It explores in detail the Protein Energy Landscape Exploration (PELE) program, providing first the main characteristics of the technique, followed by an analysis of the different application studies in mapping protein‐ligand interactions. The ligand, formed by a rigid core and a set of rotatable side chains, is perturbed by translating and rotating it. PELE creates a list of perturbation poses, and then chooses the one with the lowest system energy. PELE was originally designed to map ligand migration pathways: its first applications aimed at finding exit pathways starting from ligand‐bound crystallographic structures. Additional applied studies have centered on modeling enzymatic mechanisms and engineering; the same techniques applied in mapping protein‐drug interactions can be used in the study of substrate recognition by enzymes. ; Along the development of PELE in the last years, we gratefully acknowledge financial support from the European Union (in particular from the ERC program) and from the Catalan and Spanish Governments. In addition we want to thank all present and past members from the EAPM lab. at BSC for their dedication and work. ; Peer Reviewed ; Postprint (author's final draft)

This chapter summarizes the most representative software packages that readily allow running Monte Carlo (MC) simulations in relevant scenarios for drug design. It explores in detail the Protein Energy Landscape Exploration (PELE) program, providing first the main characteristics of the technique, followed by an analysis of the different application studies in mapping protein‐ligand interactions. The ligand, formed by a rigid core and a set of rotatable side chains, is perturbed by translating and rotating it. PELE creates a list of perturbation poses, and then chooses the one with the lowest system energy. PELE was originally designed to map ligand migration pathways: its first applications aimed at finding exit pathways starting from ligand‐bound crystallographic structures. Additional applied studies have centered on modeling enzymatic mechanisms and engineering; the same techniques applied in mapping protein‐drug interactions can be used in the study of substrate recognition by enzymes. ; Along the development of PELE in the last years, we gratefully acknowledge financial support from the European Union (in particular from the ERC program) and from the Catalan and Spanish Governments. In addition we want to thank all present and past members from the EAPM lab. at BSC for their dedication and work. ; Peer Reviewed ; Postprint (author's final draft)

The diverse cerebral mechanisms implicated in Central Nervous System (CNS) diseases together with the heterogeneous and overlapping nature of phenotypes indicated that multitarget strategies may be appropriate for the improved treatment of complex brain diseases. Understanding how the neurotransmitter systems interact is also important in optimizing therapeutic strategies. Pharmacological intervention on one target will often influence another one, such as the well-established serotonin-dopamine interaction or the dopamine-glutamate interaction. It is now accepted that drug action can involve plural targets and that polypharmacological interaction with multiple targets, to address disease in more subtle and effective ways, is a key concept for development of novel drug candidates against complex CNS diseases. A multi-target therapeutic strategy for Alzheimer's disease resulted in the development of very effective Multi-Target Designed Ligands (MTDL) that act on both the cholinergic and monoaminergic systems, and also retard the progression of neurodegeneration by inhibiting amyloid aggregation. Many compounds already in databases have been investigated as ligands for multiple targets in drug discovery programs. A probabilistic method, the ParzenRosenblatt Window approach, was used to build a "predictor" model using data collected from the ChEMBL database. The model can be used to predict both the primary pharmaceutical target and off-targets of a compound based on its structure. Several multi-target ligands were selected for further study, as compounds with possible additional beneficial pharmacological activities. Based on all these findings, it is concluded that multipotent ligands targeting AChE/MAO-A/MAO-B and also D-1-R/D-2-R/5-HT2A-R/H-3-R are promising novel drug candidates with improved efficacy and beneficial neuroleptic and procognitive activities in treatment of Alzheimer's and related neurodegenerative diseases. Structural information for drug targets permits docking and virtual screening and exploration of the molecular determinants of binding, hence facilitating the design of multi-targeted drugs. The crystal structures and models of enzymes of the monoaminergic and cholinergic systems have been used to investigate the structural origins of target selectivity and to identify molecular determinants, in order to design MTDLs. ; European Union (EU) European Cooperation in Science and Technology (COST) Ministry of the Republic of Serbia Marie Sklodowska-Curie action FP7-MC-ITN

The early stages of drug discovery rely on hit-to-lead programs, where initial hits undergo partial optimization to improve binding affinities for their biological target. This is an expensive and time-consuming process, requiring multiple iterations of trial and error designs, an ideal scenario for applying computer simulation. However, most state-of-the-art modeling techniques fail to provide a fast and reliable answer to the Induced-Fit protein–ligand problem. To aid in this matter, we present FragPELE, a new tool for in silico hit-to-lead drug design, capable of growing a fragment from a bound core while exploring the protein–ligand conformational space. We tested the ability of FragPELE to predict crystallographic data, even in cases where cryptic sub-pockets open because of the presence of particular R-groups. Additionally, we evaluated the potential of the software on growing and scoring five congeneric series from the 2015 FEP+ dataset, comparing them to FEP+, SP and Induced-Fit Glide, and MMGBSA simulations. Results show that FragPELE could be useful not only for finding new cavities and novel binding modes in cases where standard docking tools cannot but also to rank ligand activities in a reasonable amount of time and with acceptable precision. ; This work was supported by CTQ2016-79138-R and the RTC-2017-6295-1 grants from the Spanish Government. Nostrum Biodiscovery is supported by Fundación Marcelino Botín (Mind the Gap) and CDTI (Neotec grant−EXP 00094141/SNEO-20161127) and wishes to thank support from BSC and IRB. ; Peer Reviewed ; Postprint (author's final draft)