Protein Libraries Research Articles

Site-wise Diversification of Combinatorial Libraries Using Insights from Structure-guided Stability Calculations.

Many auspicious clinical and industrial accomplishments have improved the human condition by means of protein engineering. Despite these achievements, our incomplete understanding of the sequence-structure-function relationship prevents rapid innovation. To tackle this problem, we must develop and integrate new and existing technologies. To date, directed evolution and rational design have dominated as protein engineering principles. Even so, prior to screening for novel or improved functions, a large collection of variants, within a protein library, exist along an ambiguous mutational terrain. Complicating things further, the choice of where to initialize investigation along a vast sequence space becomes even more difficult given that the majority of any sequence lacks function entirely. Unfortunately, even when considering functionally relevant positions, random substitutions can prove to be destabilizing, causing a hindrance to an otherwise function-inducing, stability-reliant folding process. To enhance productivity in the field, we seek to address this issue of destabilization, and subsequent disfunction, at protein-protein and protein-ligand interacting regions. Herein, the process of choosing amenable positions - and amino acids at those positions - allows for a refined, knowledge-based approach to combinatorial library design. Using structural data, we perform computational stability prediction with FoldX's PositionScan and Rosetta's ddG_monomer in tandem, allowing for the refinement of our thermodynamic stability data through the comparison of results. In turn, we provide a process for selecting in silico predicted mutually stabilizing positions and avoiding overly destabilizing ones that guides the site-wise diversification of combinatorial libraries.

Simultaneous Display of Multiple Kinds of Enzymes on the Yeast Cell Surface for Multistep Reactions.

The yeast surface display system is a valuable platform for constructing cells with novel functions for various applications and high-throughput screening of protein or peptide libraries containing random mutations. Among the host microorganisms used for surface display, yeast is the most suitable microorganism for surface engineering owing to its eukaryotic features. In yeast, proper folding and glycosylation of expressed eukaryotic proteins can be performed. Furthermore, in this system, multiple kinds of proteins can be simultaneously displayed on the cell surface. This allows for a synergistic effect between the displayed enzymes, leading to an efficient multistep reaction. Alternatively, the ratio of the enzymes to be displayed can be controlled by the co-culture of surface-engineered yeasts displaying a single kind of enzyme. Therefore, yeast surface display systems have been applied to the construction of various whole-cell biocatalysts. Here, we describe methods for the simultaneous display of multiple kinds of proteins on the yeast cell surface.

Systematic Conformation-to-Phenotype Mapping via Limited Deep-Sequencing of Proteins

Non-native conformations drive protein misfolding diseases, complicate bioengineering efforts, and fuel molecular evolution. No current experimental technique is well-suited for elucidating them and their phenotypic effects. Especially intractable are the transient conformations populated by intrinsically disordered proteins. We describe an approach to systematically discover, stabilize, and purify native and non-native conformations, generated in vitro or in vivo, and directly link conformations to molecular, organismal, or evolutionary phenotypes. This approach involves high-throughput disulfide scanning (HTDS) of the entire protein. To reveal which disulfides trap which chromatographically resolvable conformers, we devised a deep-sequencing method for double-Cys variant libraries of proteins that precisely and simultaneously locates both Cys residues within each polypeptide. HTDS of the abundant E. coli periplasmic chaperone HdeA revealed distinct classes of disordered hydrophobic conformers with variable cytotoxicity depending on where the backbone was cross-linked. HTDS can bridge conformational and phenotypic landscapes for many proteins that function in disulfide-permissive environments.

Engineering Proteins Containing Noncanonical Amino Acids on the Yeast Surface.

Yeast display has been used to advance many critical research areas, including the discovery of unique protein binders and biological therapeutics. In parallel, noncanonical amino acids (ncAAs) have been used to tailor antibody-drug conjugates and enable discovery oftherapeutic leads. Together, these two technologies have allowed for generation of synthetic antibody libraries, where the introduction of ncAAs in yeast-displayed proteins allows for library screening for therapeutically relevant targets. The combination of yeast display with genetically encoded ncAAs increases the available chemistry in proteins and advances applications that require high-throughput strategies. In this chapter, we discuss methods for displaying proteins containing ncAAs on the yeast surface, generating and screening libraries of proteins containing ncAAs, preparing bioconjugates on the yeast surface in largescale, generating and screening libraries of aminoacyl-tRNA synthetases (aaRSs) for encoding ncAAs by using reporter constructs, and characterizing ncAA-containing proteins secreted from yeast. The experimental designs laid out in this chapter are generalizable for discovery of protein binders to a variety of targets and aaRS evolution to continue expanding the genetic code beyond what is currently available in yeast.

Antha-Guided Automation of Darwin Assembly for the Construction of Bespoke Gene Libraries.

Protein engineering through directed evolutison is facilitated by the screening and characterization of protein libraries. Efficient and effective methods for multiple site-saturation mutagenesis, such as Darwin Assembly, can accelerate the sampling of relevant sequence space and the identification of variants with desired functionalities. Here, we present the automation of the Darwin Assembly method, using a Gilson PIPETMAX™ liquid handling platform under the control of the Antha software platform, which resulted in the accelerated construction of complex, multiplexed gene libraries error-free and with minimal hands-on time, while maintaining flexibility over experimental parameters through a graphical user interface rather than requiring user-driven library-dependent programming of the liquid handling platform. We also present an approach for barcoding libraries that overcomes amplicon length limitations in next generation sequencing and enables fast reconstruction of library reads.

Yeast Mating as a Tool for Highly Effective Discovery and Engineering of Antibodies via Display Methodologies.

Yeast surface display (YSD) is a powerful methodology for discovery and engineering of antibodies, and the yeast mating has been used to overcome low transformation efficiency of yeast in antibody library generation. We developed an optimized method of yeast mating for generating a large, combinatorial antibody fragment library and heterodimeric protein library by cellular fusion between two haploid cells carrying different library each other. This method allows for increased diversity in screening of target-specific fragment antigen-binding (Fab) antibodies as well as in the development of heterodimeric Fc variants for bi-specific antibody generation and T-cell receptor (TCR). Here we describe the efficient isolation of human antibodies against the activated GTP-bound form of the oncogenic Ras mutant (KRasG12D-GTP) by sequential isolation of their heavy chains (HCs) followed by combination with light chains (LCs) via the yeast mating process. This strategy facilitates guided selection of the antigen-specific HC with either a fixed functional LC, which has cytosol penetrating ability, or an LC library to generate the Fab. It also allows for deeper exploration of a sequence space with fixed diversity, leading to a higher probability of successful isolation of human antibodies with high specificity and affinity.

Machine Learning-driven Protein Library Design: A Path Toward Smarter Libraries.

Proteins are small yet valuable biomolecules that play a versatile role in therapeutics and diagnostics. The intricate sequence-structure-function paradigm in the realm of proteins opens the possibility for directly mapping amino acid sequence to function. However, the rugged nature of the protein fitness landscape and an astronomical number of possible mutations even for small proteins make navigating this system a daunting task. Moreover, the scarcity of functional proteins and the ease with which deleterious mutations are introduced, due to complex epistatic relationships, compound the existing challenges. This highlights the need for auxiliary tools in current techniques such as rational design and directed evolution. To that end, the state-of-the-art machine learning can offer time and cost efficiency in finding high fitness proteins, circumventing unnecessary wet-lab experiments. In the context of improving library design, machine learning provides valuable insights via its unique features such as high adaptation to complex systems, multi-tasking, and parallelism, and the ability to capture hidden trends in input data. Finally, both the advancements in computational resources and the rapidly increasing number of sequences in protein databases will allow more promising and detailed insights delivered from machine learning to protein library design. In this chapter, fundamental concepts and a method for machine learning-driven library design leveraging deep sequencing datasets will be discussed. We elaborate on (1) basic knowledge about machine learning algorithms, (2) the benefit of machine learning in library design, and (3) methodology for implementing machine learning in library design.

Ancestral Sequence Reconstruction and Alternate Amino Acid States Guide Protein Library Design for Directed Evolution.

Engineered proteins possess nearly limitless possibilities in medical and industrial applications but finding a precise amino acid sequence for these applications is challenging. A robust approach for discovering protein sequences with a desired functionality uses a library design method in which combinations of mutations are applied to a robust starting point. Determining useful mutations can be tortuous, yet rewarding; in this chapter, we present a novel library design method that uses information provided by ancestral sequence reconstruction (ASR) to create a library likely to have stable proteins with diverse function. ASR computational tools use a multi-sequence alignment of homologous proteins and an evolutionary model to estimate the protein sequences of the numerous common ancestors. For all ancestors, these tools calculate the probability of every amino acid occurring at each position within the sequence alignment. The alternate amino acid states at individual positions corelate to a region of stability in sequence space around the ancestral sequence which can inform site-wise diversification within a combinatorial library. The method presented in this chapter balances the quality of results, the computational resources needed, and ease of use.

DNA-Encoded Multivalent Display of Chemically Modified Protein Tetramers on Phage: Synthesis and in Vivo Applications.

Phage display links the phenotype of displayed polypeptides with the DNA sequence in the phage genome and offers a universal method for the discovery of proteins with novel properties. However, the display of large multisubunit proteins on phages remains a challenge. A majority of protein display systems are based on monovalent phagemid constructs, but methods for the robust display of multiple copies of large proteins are scarce. Here, we describe a DNA-encoded display of a ∼ 200 kDa tetrameric l-asparaginase protein on M13 and fd phages produced by ligation of SpyCatcher-Asparaginase fusion (ScA) and PEGylated-ScA (PEG-ScA) to barcoded phage clones displaying SpyTag peptide. Starting from the SpyTag display on p3 or p8 coat proteins yielded constructs with five copies of ScA displayed on p3 (ScA-p3), ∼100 copies of ScA on p8 protein (ScA-p8) and ∼300 copies of PEG-ScA on p8 protein (PEG-ScA-p8). Display constructs of different valencies and chemical modifications on protein (e.g., PEGylation) can be injected into mice and analyzed by deep sequencing of the DNA barcodes associated with phage clones. In these multiplexed studies, we observed a density and protein-dependent clearance rate in vivo. Our observations link the absence of PEGylation and increase in density of the displayed protein with the increased rate of the endocytosis by cells in vivo. In conclusion, we demonstrate that a multivalent display of l-asparaginase on phages could be used to study the circulation life of this protein in vivo, and such an approach opens the possibility to use DNA sequencing to investigate multiplexed libraries of other multisubunit proteins in vivo.

The landscape of regulatory genes in brain-wide neuronal phenotypes of a vertebrate brain.

Multidimensional landscapes of regulatory genes in neuronal phenotypes at whole-brain levels in the vertebrate remain elusive. We generated single-cell transcriptomes of ~67,000 region- and neurotransmitter/neuromodulator-identifiable cells from larval zebrafish brains. Hierarchical clustering based on effector gene profiles ('terminal features') distinguished major brain cell types. Sister clusters at hierarchical termini displayed similar terminal features. It was further verified by a population-level statistical method. Intriguingly, glutamatergic/GABAergic sister clusters mostly expressed distinct transcription factor (TF) profiles ('convergent pattern'), whereas neuromodulator-type sister clusters predominantly expressed the same TF profiles ('matched pattern'). Interestingly, glutamatergic/GABAergic clusters with similar TF profiles could also display different terminal features ('divergent pattern'). It led us to identify a library of RNA-binding proteins that differentially marked divergent pair clusters, suggesting the post-transcriptional regulation of neuron diversification. Thus, our findings reveal multidimensional landscapes of transcriptional and post-transcriptional regulators in whole-brain neuronal phenotypes in the zebrafish brain.

Fast interaction dynamics of G-quadruplex and RGG-rich peptides unveiled in zero-mode waveguides.

G-quadruplexes (GQs), a non-canonical form of DNA, are receiving a huge interest as target sites for potential applications in antiviral and anticancer drug treatments. The biological functions of GQs can be controlled by specifically binding proteins known as GQs binding proteins. Some of the GQs binding proteins contain an arginine and glycine-rich sequence known as RGG peptide. Despite the important role of RGG, the GQs-RGG interaction remains poorly understood. By single molecule measurements, the interaction dynamics can be determined in principle. However, the RGG–GQs interaction occurs at micromolar concentrations, making conventional single-molecule experiments impossible with a diffraction-limited confocal microscope. Here, we use a 120 nm zero-mode waveguide (ZMW) nanoaperture to overcome the diffraction limit. The combination of dual-color fluorescence cross-correlation spectroscopy (FCCS) with FRET is used to unveil the interaction dynamics and measure the association and dissociation rates. Our data show that the RGG–GQs interaction is predominantly driven by electrostatics but that a specific affinity between the RGG sequence and the GQs structure is preserved. The single molecule approach at micromolar concentration is the key to improve our understanding of GQs function and develop its therapeutic applications by screening a large library of GQs-targeting peptides and proteins.

Construction of Genomic Library and Screening of Edwardsiella tarda Immunogenic Proteins for Their Protective Efficacy Against Edwardsiellosis.

Edwardsiella tarda is a severe aquaculture pathogen that can infect many hosts including humans, animals, and fish. Timely diagnosis and treatment are crucial for the control of edwardsiellosis in the aqua industry. By using rabbit polyclonal antibody, an expression gene library of virulent Edwardsiella tarda strain ED-BDU 1 isolated in south India was constructed and screened. The identified immune expressive proteins were characterized, and the corresponding coding sequences were cloned, expressed, and the purified recombinant proteins were used as antigens. The identified immunoreactive proteins namely HflC, HflK, and YhcI were studied for their immune protective potential in vivo by challenge experiments. The protective efficacy of HflC, HflK, and YhcI showed that the clearance of Edwardsiella from the host with ~ 60% survivability. Further, the immunoreactive proteins induce a strong immune response upon infection and elicit the significant production of IL-10, IFN-γ, Th1, and Th2 mediated mRNA expression and were therefore effective in vaccine production for edwardsiellosis.

Xanthopsin-Like Systems via Site-Specific Click-Functionalization of a Retinoic Acid Binding Protein.

The use of light-responsive proteins to control both living or synthetic cells, is at the core of the expanding fields of optogenetics and synthetic biology. It is thus apparent that a richer reaction toolbox for the preparation of such systems is of fundamental importance. Here, we provide a proof-of-principle demonstration that Morita-Baylis-Hillman adducts can be employed to perform a facile site-specific, irreversible and diastereoselective click-functionalization of a lysine residue buried into a lipophilic binding pocket and yielding an unnatural chromophore with an extended π-system. In doing so we effectively open the path to the in vitro preparation of a library of synthetic proteins structurally reminiscent of xanthopsin eubacterial photoreceptors. We argue that such a library, made of variable unnatural chromophores inserted in an easy-to-mutate and crystallize retinoic acid transporter, significantly expand the scope of the recently introduced rhodopsin mimics as both optogenetic and "lab-on-a-molecule" tools.

Interrogating Post-Transcriptional Mechanisms of Fetal Hemoglobin Regulation

Elevated levels of fetal hemoglobin (HbF) significantly ameliorate clinical outcomes for patients with beta-hemoglobinopathies, such as sickle cell disease (SCD). The only FDA-approved drug for treating SCD through inducing HbF is hydroxyurea, however the mechanism of action is unknown with variable effectiveness among patients. Thus, there remains a strong interest to identify more robust means of upregulating HbF, such as specific inhibition of HbF repressors. BCL11A and LRF are well-characterized transcription factors that independently repress the fetal type b-globin like genes HBG1 and HBG2 but their therapeutic potential is limited by challenging druggability and critical developmental function. However, upstream regulation of these factors, such as post-transcriptional mechanisms, are not well studied and may house novel therapeutic targets. To this end, we employed a CRISPR/Cas9 based screening approach to interrogate a library of RNA binding proteins (RBP) in the context of HbF regulation. Using HUDEP2 cells, a human adult-type erythroid progenitor cell line, we screened 341 human RBPs and identified four candidate RBPs, none of which have previously been implicated in HbF regulation. Of these candidates, RNA Binding Motif 12 (RBM12) showed the greatest level of HbF induction following in vitro depletion.Depletion of RBM12 protein in HUDEP2 cells and human CD34 + hematopoietic stem and progenitor cells (HSPC) via CRISPR/Cas9 editing raised HbF production 2-4 fold as assessed by HbF flow cytometry, HBG1/2 mRNA, and protein (γ-globin). Cell viability and maturation of RBM12 perturbed cells were largely intact. Additionally, RBM12 depletion in CD34 + HSPCs derived from SCD patients resulted in reduced percentage of sickled cells under hypoxic conditions. Unexpectedly, reduction of RBM12 had minimal effect on BCL11A and LRF expression suggesting that RBM12 may regulate HbF through a pathway that is indirectly related or independent of these transcription factors.RBM12 is an RBP that is widely expressed across diverse cell types and contains multiple RNA recognition motifs (RRM). While it has been implicated in various cancers and neurological disorders, its functions are not well studied. As an RBP, RBM12 can carry out several roles of post-transcriptional regulation, such as pre-mRNA splicing, mRNA transport, stabilization, and translation. As these activities are executed in different cellular compartments, we set out to narrow down RBM12 function by assessing its subcellular localization. Immunofluorescence staining revealed strong nuclear presence of RBM12, suggesting that it functions via mRNA biogenesis and/or processing. RNASeq and LC-MS/MS analysis of RBM12 KO CD34 + HSPCs revealed modest changes in the transcriptome and proteome. In order to gain mechanistic insight into RBM12 in the context of HbF regulation, we performed cDNA rescue experiments in RBM12-deficient HUDEP2 clones. Overexpression of full length RBM12 restored HbF repression. Notably, four out of the five RRMs were dispensable for HbF silencing, but RRM1 was essential for this activity. Interestingly, an extended form of RRM1 was also sufficient for HbF silencing. Mechanistic studies of this RRM1 module are underway and will be discussed.In sum, the identification of RBM12 as a regulator of HbF production represents a previously undescribed post-transcriptional layer of hemoglobin gene regulation. In pursuing this path, we hope to gain a deeper understanding of this understudied RBP in the context of HbF regulation which might in turn lead to the identification of potential therapeutic targets for the treatment of SCD and other hemoglobinopathies. DisclosuresBlobel: Pfizer: Consultancy; Fulcrum Therapeutics, Inc.: Consultancy.

High‐throughput experimental methods for investigating biomolecular condensates

BackgroundThe concept of biomolecular condensate was put forward recently to emphasize the ability of certain cellular compartments to concentrate molecules and comprise proteins and nucleic acids with specific biological functions, from ribosome genesis to RNA splicing. Due to their unique role in biological processes, it is crucial to investigate their compositions, which is a primary determinant of condensate properties.ResultsSince a wide range of macromolecules comprise biomolecular condensates, it is necessary for researchers to investigate them using high‐throughput methodologies while low‐throughput experiments are not efficient enough. These high‐throughput methods usually purify interacting protein libraries from condensates before being scanned in mass spectrometry. It is possible to extract organelles as a whole for specific condensates for further analysis, however, most condensates do not have a distinguishable marker or are sensitive to shear force to be extracted as a whole. Affinity tagging allows a comprehensive view of interacting proteins of target molecule yet only proteins with strong bonds may be pulled down. Proximity labeling serves as a complementary method to label more dynamic proteins with weaker interactions, increasing sensitivity while decreasing specificity. Image‐based fluorescent screening takes another path by scanning images automatically to illustrate the condensing state of biomolecules within membraneless organelles, which is a unique feature unlike the previous mass spectrometry‐based methods.ConclusionThis review presents a rough glimpse into high‐throughput methodologies for biomolecular condensate investigation to encourage usage of bioinformatic tools by researchers in relevant fields.

In silico recombinant plasmid design of pHA171 with phdABCD insertion for ethidium bromide degradation

Background: Ethidium bromide is a common reagent that is used in nucleic acid staining. However, ethidium bromide has toxic and carcinogenic properties that are harmful to the environment. Phenanthrene dioxygenase (encoded by phdA, phdB, phdC, and phdD genes) in Nocardioides sp. KP7 can oxidize the phenanthridine structure aim to eliminate carcinogenic properties.
 Objective: This study aims to visualize and predict the structure, active site, and characteristics of the phenanthrene dioxygenase using bioinformatics tools.
 Methods: Plasmid design were prepared by inserting genes of interest phdA, phdB, phdC, and phdD from the NCBI database. Furthermore, several protein analysis tools were used for structure visualization, active site enzyme improvement, and protein characteristic of phenanthrene dioxygenase.
 Results: The prediction results found that phenanthrene dioxygenase reacts with the ethidium bromide substrate through the interaction of Fe3+ ions with water. The solubility level of phenanthrene dioxygenase protein is 0.404, suggesting that the protein has low solubility. The protein isoelectric point (pI) is between 5.17 to 5.36, and the protein molecular weight is 121.143 kDa.
 Conclusion: In silico analysis has supported that recombinant plasmid met characteristics for the construct which consists of gene interest and protein library.

Development of a base editor for protein evolution via in situ mutation in vivo.

Protein evolution has significantly enhanced the development of life science. However, it is difficult to achieve in vitro evolution of some special proteins because of difficulties with heterologous expression, purification, and function detection. To achieve protein evolution via in situ mutation in vivo, we developed a base editor by fusing nCas with a cytidine deaminase in Bacillus subtilis through genome integration. The base editor introduced a cytidine-to-thymidine mutation of approximately 100% across a 5 nt editable window, which was much higher than those of other base editors. The editable window was expanded to 8 nt by extending the length of sgRNA, and conversion efficiency could be regulated by changing culture conditions, which was suitable for constructing a mutant protein library efficiently in vivo. As proof-of-concept, the Sec-translocase complex and bacitracin-resistance-related protein BceB were successfully evolved in vivo using the base editor. A Sec mutant with 3.6-fold translocation efficiency and the BceB mutants with different sensitivity to bacitracin were obtained. As the construction of the base editor does not rely on any additional or host-dependent factors, such base editors (BEs) may be readily constructed and applicable to a wide range of bacteria for protein evolution via in situ mutation.

CRISPR-based peptide library display and programmable microarray self-assembly for rapid quantitative protein binding assays

CRISPR-inspired systems have been extensively developed for applications in genome editing and nucleic acid detection. Here, we introduce a CRISPR-based peptide display technology to facilitate customized, high-throughput invitro protein interaction studies. We show that bespoke peptide libraries fused to catalytically inactive Cas9 (dCas9) and barcoded with unique single guide RNA (sgRNA) molecules self-assemble from a single mixed pool to programmable positions on a DNA microarray surface for rapid, multiplexed binding assays. We develop dCas9-displayed saturation mutagenesis libraries to characterize antibody-epitope binding for a commercial anti-FLAG monoclonal antibody and human serum antibodies. We also show that our platform can be used for viral epitope mapping and exhibits promise as a multiplexed diagnostics tool. Our CRISPR-based peptide display platform and the principles of complex library self-assembly using dCas9could be adapted for rapid interrogation of varied customized protein libraries or biological materials assembly using DNA scaffolding.

IBRET Screen of the ABCD1 Peroxisomal Network and Mutation-Induced Network Perturbations.

Mapping the network of proteins provides a powerful means to investigate the function of disease genes and to unravel the molecular basis of phenotypes. We present an automated informatics-aided and bioluminescence resonance energy transfer-based approach (iBRET) enabling high-confidence detection of protein-protein interactions in living mammalian cells. A screen of the ABCD1 protein, which is affected in X-linked adrenoleukodystrophy (X-ALD), against an organelle library of peroxisomal proteins demonstrated applicability of iBRET for large-scale experiments. We identified novel protein-protein interactions for ABCD1 (with ALDH3A2, DAO, ECI2, FAR1, PEX10, PEX13, PEX5, PXMP2, and PIPOX), mapped its position within the peroxisomal protein-protein interaction network, and determined that pathogenic missense variants in ABCD1 alter the interaction with selected binding partners. These findings provide mechanistic insights into pathophysiology of X-ALD and may foster the identification of new disease modifiers.

Engineered protein-small molecule conjugates empower selective enzyme inhibition

Potent, specific ligands drive precision medicine and fundamental biology. Proteins, peptides, and small molecules constitute effective ligand classes. Yet greater molecular diversity would aid the pursuit of ligands to elicit precise biological activity against challenging targets. We demonstrate a platform to discover protein-small molecule (PriSM) hybrids to combine unique pharmacophore activities and shapes with constrained, efficiently engineerable proteins. In this platform, a fibronectin protein library is displayed on yeast with a single cysteine coupled to acetazolamide via a maleimide-poly(ethylene glycol) linker. Magnetic and flow cytometric sorts enrich specific binders to carbonic anhydrase isoforms. Isolated PriSMs exhibit potent, specific inhibition of carbonic anhydrase isoforms with efficacy superior to that of acetazolamide or protein alone, including an 80-fold specificity increase and 9-fold potency gain. PriSMs are engineered with multiple linker lengths, protein conjugation sites, and sequences against two different isoforms, which reveal platform flexibility and impacts of molecular designs. PriSMs advance the molecular diversity of efficiently engineerable ligands.