Recent developments in de novo design and scaffold hopping

This review covers the developments in the fields of de novo ligand design and scaffold hopping since 2006. De novo ligand design was introduced in 1991 as a purely structure-based method to suggest ligands for synthesis and was later augmented by ligand-based approaches. Both structure-based and ligand-based methods identify pharmacophores, as well as shape constraints, and subsequently match these with complementary features embedded into small-molecule topologies. Recently, significant attention has been paid to de novo ligand design in combination with biophysical fragment screening and X-ray structure elucidation. Scaffold hopping has evolved from a niche application of de novo design into a rapidly expanding suite of different software tools, which are used extensively in the pharmaceutical industry.     

De novo design,synthesis, and evaluation of novel nonsteroidal phenanthrene ligands for the estrogen receptor

Although there are many estrogen receptor antagonists with improved tissue selectivity profiles compared with tamoxifen, optimal tissue selectivity has not yet been demonstrated. As such there is still a need for additional diversity and new chemical scaffolds to allow for exploration of improved tissue selectivity. Here, we describe the discovery of a novel phenanthrene scaffold for estrogen receptor ligands utilizing a ligand based de novo design approach. The nanomolar binding of phenanthrenes, 12b,c, 14b,c, and 15 against human recombinant ER(alpha) indicates that our ligand based de novo design approach was successful. From a gene transfection assay, 12b,c, 14b,c, and 15 displayed only antagonistic activity with no observable agonistic activity. The alkyl 9,10-dihydrophenanthrene 16 (presumably a racemic mixture) was a substantially more potent ER binder than the phenanthrenes. It also displayed only antagonistic activity and was effective at inhibiting estradiol stimulated MCF-7 cell proliferation. These results demonstrate that this phenanthrene (and 9,10-dihydrophenanthrene) scaffold warrants further study as potential selective estrogen receptor modulators and/or pure antiestrogens.     

When analoging is not enough: scaffold discovery in medicinal chemistry

Importance of the field: As an integral part of lead generation and optimization, scaffold discovery has broad implications in drug discovery. Currently available chemical scaffolds might be inadequate to provide drug-like ligands for new targets such as phosphatases and protein-protein interactions and therapeutically useful chemical space needs to be continuously explored. New scaffolds are often desired to overcome major hurdles (e.g., potency plateau, selectivity, pharmacokinetics, etc.) in lead generation and optimization. Timely discovery of proof-of-concept compounds facilitates target validation, diversifies clinical candidates and improves the overall success rate of drug discovery. Areas covered in this review: This analysis discusses the strategies involved in finding new scaffolds (i.e., fragment-, ligand- and structure-based design) and their applications (e.g., improve potency/selectivity, multiple ligand design, protein-protein interactions, etc.) in drug discovery. What the reader will gain: The readers will learn the strategies involved in scaffold design and the problems that they solve. They will also gain the understanding of the circumstances suitable for using scaffold design. Take home message: Scaffold is defined by the authors as a biological target dependent concept. Therapeutically useful scaffolds are limited and the identification of new scaffolds is sometimes required to overcome major optimization hurdles. However, depending on the promiscuity of the binding pocket of the target and the validity of the optimization protocol, finding better scaffolds can be a challenging task. Several strategies in scaffold discovery have emerged or matured owing to recent trends such as pursuit of targets from new proteomic families, lack of validated targets, advances in synthesis and biological assays and adoption of in vitro activity-driven screening paradigms.     

Scaffold hopping in de novo design. Ligand generation in the absence of receptor information

We report here the de novo generation of chemotypes and scaffolds for the estrogen receptor, without use of the receptor structure in the assembly phase. Through use of ligand superpositions or a single bound conformation of a known active, a pseudoreceptor can be generated as a design envelope, within which novel structures are readily assembled. Many of these structures have high similarity to known chemotypes. Scaffold hopping is readily achieved within this pseudoreceptor, indicating the advantages of such an approach in discovery research.     

When analoging is not enough: scaffold discovery in medicinal chemistry

Importance of the field: As an integral part of lead generation and optimization, scaffold discovery has broad implications in drug discovery. Currently available chemical scaffolds might be inadequate to provide drug-like ligands for new targets such as phosphatases and protein–protein interactions and therapeutically useful chemical space needs to be continuously explored. New scaffolds are often desired to overcome major hurdles (e.g., potency plateau, selectivity, pharmacokinetics, etc.) in lead generation and optimization. Timely discovery of proof-of-concept compounds facilitates target validation, diversifies clinical candidates and improves the overall success rate of drug discovery.

Areas covered in this review: This analysis discusses the strategies involved in finding new scaffolds (i.e., fragment-, ligand- and structure-based design) and their applications (e.g., improve potency/selectivity, multiple ligand design, protein–protein interactions, etc.) in drug discovery.

What the reader will gain: The readers will learn the strategies involved in scaffold design and the problems that they solve. They will also gain the understanding of the circumstances suitable for using scaffold design.

Take home message: Scaffold is defined by the authors as a biological target dependent concept. Therapeutically useful scaffolds are limited and the identification of new scaffolds is sometimes required to overcome major optimization hurdles. However, depending on the promiscuity of the binding pocket of the target and the validity of the optimization protocol, finding better scaffolds can be a challenging task. Several strategies in scaffold discovery have emerged or matured owing to recent trends such as pursuit of targets from new proteomic families, lack of validated targets, advances in synthesis and biological assays and adoption of in vitro activity-driven screening paradigms.     

BREED: Generating novel inhibitors through hybridization of known ligands. Application to CDK2, p38, and HIV protease

In this work we describe BREED, a method for the generation of novel inhibitors from structures of known ligands bound to a common target. The method is essentially an automation of the common medicinal chemistry practice of joining fragments of two known ligands to generate a new inhibitor. The ligand-bound target structures are overlaid, all overlapping bonds in all pairs of ligands are found, and the fragments on each side of each matching bond are swapped to generate the new molecules. Since the method is automated, it can be applied recursively to generate all possible combinations of known ligands. In an application of this method to HIV protease inhibitors and protein kinase inhibitors, hundreds of new molecular structures were generated. These included known inhibitor scaffolds not included in the initial set, entirely novel scaffolds, and novel substituents on known scaffolds. The method is fast, and since all of the ligand functional groups are known to bind the target in the precise position and orientation present in the novel ligand, the success rate of this method should be superior to more traditional de novo design techniques. In an era of increasingly high-throughput structural biology, such methods for high-throughput utilization of structural information will become increasingly valuable.     

全新药物设计方法与常用软件及其在抗癌药物设计中的应用

计算机辅助药物设计已普遍应用于药物研发过程,大大加快了药物开发的速度.特别是全新药物设计方法可以用于识别作用于特异性靶点的全新配体结构.全新药物设计常用软件有LUDI,LigBuilder,LeapFrog,SPROUT和SYNOPSIS等,常用方法有片段连接、片段生长、侧链替换和骨架跃迁等.全新药物设计方法在一些抗癌化合物,如纺锤体驱动蛋白抑制剂、血管内皮生长因子抑制剂、亲环蛋白A抑制剂和BRAF抑制剂等的发现方面,已经发挥了重要作用.综述全新药物设计方法与常用软件,并举例讨论其在新型抗癌药物领域中的应用.     

Site-directed structure generation by fragment-joining

Summary Recently, several computer programs for de novo ligand design have been described that construct novel molecules by combining several fragments into one molecule. The present review discusses the advantages and disadvantages of this fragment-based approach to de novo design. The computer program LUDI for automated structure-based ligand design is described in some detail. This program constructs possible new ligands for a given protein of known three-dimensional structure. In addition, LUDI can also be used for 3D database searching. LUDI is based upon rules about energetically favorable nonbonded contact geometries between functional groups of the protein and the ligand which are derived from a statistical analysis of crystal packings of organic molecules. All putative ligands retrieved or constructed by LUDI are scored by a simple scoring function that was fitted to experimentally determined binding constants of protein-ligand complexes. LUDI is a fast program that is suitable for interactive usage.     

Concept of combinatorial de novo design of drug-like molecules by particle swarm optimization

We present a fast stochastic optimization algorithm for fragment-based molecular de novo design (COLIBREE, Combinatorial Library Breeding). The search strategy is based on a discrete version of particle swarm optimization. Molecules are represented by a scaffold, which remains constant during optimization, and variable linkers and side chains. Different linkers represent virtual chemical reactions. Side-chain building blocks were obtained from pseudo-retrosynthetic dissection of large compound databases. Here, ligand-based design was performed using chemically advanced template search (CATS) topological pharmacophore similarity to reference ligands as fitness function. A weighting scheme was included for particle swarm optimization-based molecular design, which permits the use of many reference ligands and allows for positive and negative design to be performed simultaneously. In a case study, the approach was applied to the de novo design of potential peroxisome proliferator-activated receptor subtype-selective agonists. The results demonstrate the ability of the technique to cope with large combinatorial chemistry spaces and its applicability to focused library design. The technique was able to perform exploitation of a known scheme and at the same time explorative search for novel ligands within the framework of a given molecular core structure. It thereby represents a practical solution for compound screening in the early hit and lead finding phase of a drug discovery project.     

Derivatization Design of Synthetically Accessible Space for Optimization: In Silico Synthesis vs Deep Generative Design

Molecular design is of utmost importance in lead optimization programs ultimately determining the fate of the project and the speed to reach preclinical stage. Newly designed lead analogues or new chemotypes must successfully address the challenges in the multidimensional optimization process throughout several optimization cycles. The speed, quality, and creativity of the designs can have a major impact on the cycle time, the number of required cycles, and the number of compounds needed to be synthesized and evaluated that in combination affect the overall timeline and cost of the lead optimization phase. Recently, a new concept, generative design with deep learning, has become popular for de novo design of project relevant analogue sets. We have developed a de novo design technology called “derivatization design” that applies artificial-intelligence-assisted forward in silico synthesis for the generation of near neighbor lead analogues as well as scaffold variations. The several attractive features of the methodology include synthetic feasibility, reagent availability and cost data associated with each new molecule; thus, detailed synthetic assessment is automatically generated during the design. As a result, these practically important data types can become an early part of the ranking and selection process for cycle time reduction. The power of derivatization design is demonstrated in a simple design study of DDR1 inhibitors and comparison of the produced molecules to a recently published data set obtained with deep generative design.     

Drug design of GPCR ligands using physicogenetics and chemogenomics--principles and case studies

An efficient computational method for hit and lead identification is described. The method that incorporate ligand information from physicogenetically related 7TM receptors, i.e. receptors with similar physicochemical features in the ligand binding pockets, have been developed to aid the construction of pharmacophore queries for mining of vendor and in-house databases to produce small focused libraries for a specific GPCR target. The physicogenetically related targets could be complementary to phylogenetically derived receptors and convey more relevance for the structure-based design approaches suitable for GPCR targets associated with no or limited ligand information. The approach is useful not only in identification of hits but also in the hit-to-lead process as constructed homology receptor models, SAR information and pharmacophore features are collectively utilized in the design of proprietary new lead series. This site-directed drug discovery approach of making smaller receptor-specific libraries displays important advantages over conventional HTS-based generation of hits. The methodology has been exemplified with the CRTH2 receptor, which was associated with minimal ligand information, to produce a small diverse library containing several useful hit series which were further converted into drugable lead series. The use of ligand and QSAR information in scaffold hopping was exemplified with MCH1R antagonists, which had been obtained via chemogenomics-enriched design. Finally, an example on how ligand relationships can be used in identifying receptor relationships was given with CCR2 antagonists to highlight the 3D relationships of GPCR targets not directly evident from either phylogenetic or physicogenetic relationships.     

Discovery of potential Toxoplasma gondii CDPK1 inhibitors with new scaffolds based on the combination of QSAR and scaffold‐hopping method with in vitro validation

To discover drugs for toxoplasmosis with less side‐effects and less probability to get drug resistance is eagerly appealed for pregnant women, infant or immunocompromised patients. In this work, using TgCDPK1 as drug target, we design a method to discover new inhibitors for CDPK1 as potential drug lead for toxoplasmosis with novel scaffolds based on the combination of 2D/3D‐QSAR and scaffold‐hopping methods. All the binding sites of the potential inhibitors were checked by docking method, and only the ones that docked to the most conserved sites of TgCDPK1, which make them have less probability to get drug resistance, were remained. As a result, 10 potential inhibitors within two new scaffolds were discovered for TgCDPK1 with experimentally verified inhibitory activities in micromole level. The discovery of these inhibitors may contribute to the drug development for toxoplasmosis. Besides, the pipeline which is composed in this work as the combination of QSAR and scaffold‐hopping is simple, easy to repeat for researchers without need of in‐depth knowledge of pharmacology to get inhibitors with novel scaffolds, which will accelerate the procedure of drug discovery and contribute to the drug repurposing study.     

Receptor flexibility in de novo ligand design and docking

One of the major problems in computational drug design is incorporation of the intrinsic flexibility of protein binding sites. This is particularly crucial in ligand binding events, when induced fit can lead to protein structure rearrangements. As a consequence of the huge conformational space available to protein structures, receptor flexibility is rarely considered in ligand design procedures. In this work, we present an algorithm for integrating protein binding-site flexibility into de novo ligand design and docking processes. The approach allows dynamic rearrangement of amino acid side chains during the docking and design simulations. The impact of protein conformational flexibility is investigated in the docking of highly active inhibitors in the binding sites of acetylcholinesterase and human collagenase (matrix metalloproteinase-1) and in the design of ligands in the S1' pocket of MMP-1. The results of corresponding simulations for both rigid and flexible binding sites are compared in order to gauge the influence of receptor flexibility in drug discovery protocols.     

Computer-based de novo design of drug-like molecules

Ever since the first automated de novo design techniques were conceived only 15 years ago, the computer-based design of hit and lead structure candidates has emerged as a complementary approach to high-throughput screening. Although many challenges remain, de novo design supports drug discovery projects by generating novel pharmaceutically active agents with desired properties in a cost- and time-efficient manner. In this review, we outline the various design concepts and highlight current developments in computer-based de novo design.     

Molecular recognition of DNA by rigid [N]-polynorbornane-derived bifunctional intercalators: synthesis and evaluation of their binding properties

We have exploited the concept of multivalency in the context of DNA recognition, using novel chemistry to synthesize a new type of bis-intercalator with unusual sequence-selectivity. Bis-intercalation has been observed previously, but design principles for de novo construction of such molecules are not known. Our compounds feature two aromatic moieties projecting from a rigid, polynorbornane-based scaffold. The length and character of the backbone as well as the identity of the intercalators were varied, resulting in mono- or divalent recognition of the double helix with varying affinity. Our lead compound proved to be a moderately sequence-selective bis-intercalator with an unwinding angle of 27 degrees and a binding constant of about 8 microM. 9-aminoacridine rings were preferred over acridine carboxamides or naphthalimides, and a rigid [3]-polynorbornane scaffold was superior to a [5]-polynorbornane. The flexibility of the linker connecting the rings to the scaffold, although less influential, could affect the strength and character of the DNA binding.     

Molecular diversity through sugar scaffolds

Monosaccharides provide an excellent platform to tailor molecular diversity by appending desired substituents at selected positions around the sugar scaffold. The presence of five functionalized and stereo-controlled centres on the sugar scaffolds gives the chemist plenty of scope to custom design molecules to a pharmacophore model. This review focuses on the peptidomimetic developments in this area, as well as the concept of tailoring structural and functional diversity in a library using carbohydrate scaffolds and how this can lead to increased hit rates and rapid identification of leads, which has promising prospects for drug development.     

De novo design: balancing novelty and confined chemical space

Importance of the field: De novo drug design serves as a tool for the discovery of new ligands for macromolecular targets as well as optimization of known ligands. Recently developed tools aim to address the multi-objective nature of drug design in an unprecedented manner. Areas covered in this review: This article discusses recent advances in de novo drug design programs and accessory programs used to evaluate compounds post-generation. What the reader will gain: The reader is introduced to the challenges inherent in de novo drug design and will become familiar with current trends in de novo design. Furthermore, the reader will be better prepared to assess the value of a tool, and be equipped to design more elegant tools in the future. Take home message: De novo drug design can assist in the efficient discovery of new compounds with a high affinity for a given target. The inclusion of existing chemoinformatic methods with current structure-based de novo design tools provides a means of enhancing the therapeutic value of these generated compounds.     

Privileged scaffolds in lead generation

Introduction: The term “privileged scaffold” was coined in 1988 and the strategy was to construct high-affinity ligands from core structures that can bind more than one receptor. Since then, the privileged scaffold-based design has evolved from a stand-alone technology to an integral component of various lead generation platforms.

Areas covered: In this review, the authors discuss the applications of the privileged scaffold concept in current lead generation. Specifically, the authors cover the role that privileged scaffolds have played in the mass production of compounds to feed high-throughput screening (HTS) and its role in the design of ligands targeting protein-protein interactions, multiple ligands and warhead-based ligands. It is not the intention of the authors to review all privileged scaffolds known to date. Rather, the aim of this review is to highlight the strategic value of the concept of privileged scaffolds in various contemporary lead generation platforms.

Expert opinion: The privileged scaffolds as described by the original definition proved abundant in the available chemical space. HTS and other screening methods, in addition to greatly enhanced compound collections, make privileged scaffold-based design less relevant in finding high-affinity ligands than originally envisioned. However, the principle of privileged scaffolds has greatly enhanced and empowered current lead generation technologies.     

Structure-based generation of a new class of potent Cdk4 inhibitors: new de novo design strategy and library design.

As a first step in structure-based design of highly selective and potent Cdk4 inhibitors, we performed structure-based generation of a novel series of Cdk4 inhibitors. A Cdk4 homology model was constructed according to X-ray analysis of an activated form of Cdk2. Using this model, we applied a new de novo design strategy which combined the de novo design program LEGEND with our in-house structure selection supporting system SEEDS to generate new scaffold candidates. In this way, four classes of scaffold candidates including diarylurea were identified. By constructing diarylurea informer libraries based on the structural requirements of Cdk inhibitors in the ATP binding pocket of the Cdk4 model, we were able to identify a potent Cdk4 inhibitor N-(9-oxo-9H-fluoren-4-yl)-N'-pyridin-2-ylurea 15 (IC(50) = 0.10 microM), together with preliminary SAR. We performed a docking study between 15 and the Cdk4 model and selected a reasonable binding mode which is consistent with the SAR. Further modification based on the proposed binding mode provided a more potent compound, N-[(9bR)-5-oxo-2,3,5,9b-tetrahydro-1H-pyrrolo[2,1-a]isoindol-9-yl]-N'-pyridin-2-ylurea 26a (IC(50) = 0.042 microM), X-ray analysis of which was accomplished by the soaking method. The predicted binding mode of 15 in Cdk4 was validated by X-ray analysis of the Cdk2-26a complex.     

Structure-based de novo design,synthesis, and biological evaluation of non-azole inhibitors specific for lanosterol 14alpha-demethylase of fungi

The active site of lanosterol 14alpha-demethylase (CYP51) was investigated via MCSS functional group mapping and LUDI calculations. Several non-azole lead molecules were obtained by coupling structure-based de novo design with chemical synthesis and biological evaluation. All of the lead molecules exhibited a strong inhibitory effect on CYP51 of Candida albicans. They occupy the substrate-binding site and interfere with the binding of azole antifungal agents in a competitive manner. The mode of action of the lead molecules was validated by spectrophotomeric analysis and SAR studies. This is the first successful example reported for the inhibitor design of the cytochrome P450 superfamily using the de novo design strategy. Because the affinity of the lead molecules for CYP51 was mainly attributed to their nonbonding interaction with the apoprotein, the studies presented here afford the opportunity to develop novel antifungal agents that specifically interact with the residues in the active site and avoid the serious toxicity arising from coordination binding with the heme of mammalian P450s.