Bioorganic & Medicinal Chemistry Letters

Metastatic melanoma is an aggressive cutaneous malignancy frequently driven by the oncogenic V600E mutation within the BRAF kinase. While first-generation Type IS BRAF inhibitors, such as dabrafenib, are currently prescribed to target this specific molecular vulnerability, paradoxical MAPK pathway activation, and acquired drug resistance necessitate the continuous development of structurally optimized lead molecules. In this study, chemical intuition, bioisosteric replacement, and computational molecular docking were employed to propose two novel BRAFV600E drug candidates. The proposed therapeutics, engineered to incorporate constrained sp3-hybridized aliphatic rings and a sulfoximine bioisostere, demonstrated thermodynamically superior docking scores within the mutant catalytic cleft compared to dabrafenib. Lastly, a homology analysis determined that Mus musculus is a suitable model organism for future preclinical studies and confirmed crucial structural selectivity against microbial off-target kinases.

Protein Kinase Novel 3 (PKN3) understudied kinase with a diverse array of biological functions that are yet to be fully defined. Here, we report the design and development of a novel advanced functional chemical tool inhibitor for PKN3. A pyridyl imidazole series has been synthesized and evaluated against PKN3 in vitro and in cells. These efforts led to the discovery of 6e (URS03-06), a submicromolar cell active functional inhibitor with a narrow kinome spectrum, to enable the elucidation and interrogation of PKN3 cellular biology.

The platelet P2Y1 receptor (P2Y1R) is necessary for inflammation, signalling via Rho-GTPase pathways to elicit functions that are distinct from aggregation (PLC-dependent canonical signalling pathway). Whether these distinct platelet inflammatory functions can be selectively suppressed to preserve hemostasis through the rational design of P2Y1R antagonists has not been explored. In silico molecular docking analysis examined biased nucleotide interactions within the P2Y1R binding pocket. The identified possible key amino acid residues guided rational design to synthesize compounds for pathway selective inhibition, evolving from nucleotide to non-nucleotide structures. The nucleotide analogue KMR-82-13 was predicted to engage distinct regions of the binding pocket and selectively inhibited platelet chemotaxis while preserving aggregation. These findings informed the design of a non-nucleotide compound KSN-159-27, aiming to retain key KMR-82-13-like interactions while improving drug-like properties. Docking and molecular dynamics simulation supported a stable but dynamic binding mode for KSN-159-27 within the P2Y1R pocket, consistent with pathway-selective inhibition. KSN-159-27 displayed characteristics of a pathway selective inverse agonist at P2Y1R towards G12/13-mediated pathways, but not those associated by Gq activation in P2Y1R-transfected HEK293T cells. KSN-159-27 showed functionally selective inhibition for platelet P2Y1R-mediated functions. In vivo, KSN-159-27 suppressed inflammatory cell recruitment, whilst preserving bleeding time and ADP-induced thromboembolic responses, in contrast to the neutral P2Y1R antagonist MRS2500. This first demonstration for the rational design of a pathway selective inverse agonist at platelet P2Y1Rs has significant implications for novel therapeutic strategies developed to safely target platelet activation during inflammation, in contrast to current anti-platelet drugs used in the prevention of thrombosis. Key PointsO_LIBiased inverse platelet P2Y1R agonists selectively supress inflammation whilst preserving hemostasis and the ability of platelets to aggregate. C_LIO_LIBiased inverse agonism selectively inhibited P2Y1R G12/13 (Rho-GTPAse functions) but not Gq activities (PLC functions). C_LI

Breast cancer (BC) is the second most common noncutaneous cancer and the second leading cause of cancer-related death in women. BC is classified into three primary subtypes, with triple-negative breast cancer (TNBC) having the poorest prognosis because it lacks specific targetable markers. Preclinical studies on TNBC indicated a common occurrence of diminished tumor-suppressor activity of PTEN, activating the PI3K/AKT/mTOR signaling pathway. Notably, published studies reveal that the WWP1 enzyme plays a pivotal role in driving PTEN degradation via ubiquitination, unveiling a promising therapeutic target for treating TNBC. In the search of new WWP1 inhibitors, we used artificial intelligence (AI)-driven computational strategies for de novo design of peptide-based WWP1 inhibitors and identified a hexapeptide, termed WI23-B, which demonstrated high nanomolar binding affinity to WWP1. In TR-FRET enzymatic assays, WI23-B inhibited WWP1 activity with an IC of approximately 11 {micro}M. In MCF7 and MDA-MB-231 breast cancer cell lines, WI23-B showed promising cytotoxic efficacy, particularly in combination with the PI3K inhibitor BYL719, also when it was loaded into nanocapsules. Collectively, these findings highlight WI23-B as a promising lead peptide with potent WWP1 inhibitory activity and synergistic antiproliferative effects when combined with PI3K inhibitors. While further structural optimization is required to enhance its potency and pharmacological properties, our results provide a strong foundation for the development of next-generation WWP1 inhibitors. Such agents have the potential to reshape therapeutic strategies for BC and TNBC by enabling more effective and less toxic treatment regimens, ultimately reducing the reliance on high-dose chemotherapy and minimizing adverse effects.

Cancer immunotherapy has transformed cancer treatment; however, durable responses remain limited by suppressive myeloid populations within the tumor microenvironment. Leukocyte immunoglobulin-like receptor B4 (LILRB4/ILT3) is an emerging myeloid immune checkpoint implicated in immune evasion and resistance to immunotherapy, yet small molecule targeting of ILT3 remains largely unexplored. Here, we report the discovery of small molecule ILT3 modulators identified using a Dianthus-based temperature-related intensity change (TRIC) screening platform. Screening of an 8,961-member Enamine Library identified multiple direct ILT3 binders, with lead compound ICB-7 demonstrating high-affinity binding to recombinant human ILT3 by microscale thermophoresis and robust cellular target engagement in CETSA assays. Molecular docking and molecular dynamics simulations revealed a stable hydrophobic binding pocket within the D2 domain of ILT3. Functionally, ICB-7 disrupted the ILT3-SCG2 interaction and inhibited downstream SHP1, SHP2, and STAT3 signaling. In patient-derived colorectal cancer and acute myeloid leukemia co-culture models, ICB-7 enhanced cytotoxic T-cell activity, and reduced tumor-cell viability. The compound also demonstrated favorable pharmacokinetic and safety properties together with significant anti-tumor efficacy in the CT26 syngeneic colorectal carcinoma model. Collectively, these findings establish ILT3 as a tractable target for small-molecule immunomodulation and support pharmacological targeting of suppressive myeloid checkpoints as a promising cancer immunotherapy strategy.

The leukocyte-specific {beta}2-integrin receptor family exerts a wide range of functions: {beta}2-integrins are involved in leukocyte trafficking, where they mediate cell adhesion during inflammatory responses via binding to ICAM-1, ICAM-2, or JAM-C. Furthermore, they are essential for the recognition and phagocytosis of pathogens opsonized by complement. Accordingly, the {beta}2-integrin family is known to be involved in autoimmune and inflammatory diseases, such as systemic lupus erythematosus. Owing to their complex biology, involving multiple conformational transitions, different signaling pathways, and a broad spectrum of ligands, the development of {beta}2-integrin-targeted probes and therapeutics has remained challenging. We aimed to develop macrocyclic peptides, derived from phage display screening, which can be used to unravel ligand binding profiles of {beta}2-integrins with an emphasis on the I domain. The selection of suitable lead peptides, and the characterization of their interaction profiles with different I domains, was enabled by an established in-vitro assay platform. Various peptide sequences were enriched during several rounds of phage display against the I-domain of CR3, of which two peptides with particularly low micromolar binding affinity were further characterized. Both peptides showed direct binding to {beta}2-integrin I-domains and, in a competitive assay, dose-dependent inhibition of the I-domains interactions with their main ligands iC3b and ICAM-1, respectively. These ligand-interfering properties were confirmed in bead- and cell-based adhesion assays. The modulators developed here are expected to provide valuable insight into the (patho-)physiology of CR3 and the other members of the {beta}2-integrin family, as the two peptides were able to compete with different ligands. In the future, this may help to identify potential therapeutic approaches for autoimmune, inflammatory, and age-related diseases.

Pancreatic ductal adenocarcinoma (PDAC) is an aggressive malignancy characterised by a highly immunosuppressive tumour microenvironment and limited therapeutic responses. Tumour-derived extracellular vesicles (EVs) contribute to PDAC progression by transferring immunomodulatory molecules and tumour-associated signals, suggesting EV-associated processes as potential intervention opportunities. However, the heterogeneity of EV biology and the complexity of tumour-immune interactions make single-target intervention strategies challenging. Here, we developed a computation-driven dual-layer candidate-prioritisation framework to identify potential modulators associated with PDAC EV-mediated immune escape through complementary production-side and action-side strategies. For the production-side layer, we focused on upstream processes related to EV biogenesis, cargo regulation, inflammatory signalling, and tumour-associated pathways. An 88-gene PDAC EV-associated target framework was integrated with cell-type-resolved prognosis annotations from ctPANDA and predicted targets of 18 natural products derived from Scutellaria baicalensis, Epimedium spp., and Cornus officinalis to prioritise natural-product candidates with disease relevance and potential chemical tractability. In parallel, key targets with experimentally resolved ligand-binding structures were subjected to pocket-guided de novo small-molecule design based on co-crystal ligand-defined binding sites, followed by structural, docking-based, and physicochemical screening of generated compounds. For the action-side layer, VHH and scFv binders were computationally designed and screened against extracellular regions of MET and CD81 to prioritise candidates potentially suitable for EV recognition and capture. This study provides a computational strategy for narrowing candidate spaces across both EV-associated production pathways and released vesicle recognition. The resulting small molecules, antibody-like binder models, and screening workflows provide a resource for future experimental validation of strategies targeting PDAC EV-associated immune regulation. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=118 SRC="FIGDIR/small/740294v1_ufig1.gif" ALT="Figure 1"> View larger version (48K): org.highwire.dtl.DTLVardef@11829b0org.highwire.dtl.DTLVardef@158efb5org.highwire.dtl.DTLVardef@1e17cc5org.highwire.dtl.DTLVardef@c69696_HPS_FORMAT_FIGEXP M_FIG C_FIG

Targeting viral macrodomains (Mac) has emerged as a promising strategy for antiviral drug development, especially after the outbreak of COVID-19 that claimed millions of lives worldwide. Several severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Mac1 inhibitors have been reported in the past few years. In the present work, we converted GS-441524 (IC50 of [~]10 M for SARS-CoV-2 Mac1) to KP-S54 (18c), a potent inhibitor of both SARS-CoV-2 Mac1 (IC50: 44 nM) and Middle East respiratory syndrome coronavirus (MERS-CoV) Mac1 (IC50: 91 nM) through an iterative direct-to-biology approach. This approach leverages efficient amide-coupling reaction and the mix-and-read fluorescence polarization (FP) assays where reaction mixtures could be screened directly without purification. Cocrystal structure of a selected derivative (12p) binding to SARS-CoV-2 Mac1 revealed the binding mode, which will guide future drug development against viral macrodomains.

Tunicamycins are potent inhibitors of dolichyl-phosphate N-acetylglucosamine phosphotransferase (DPAGT1) but are unsuitable for therapeutic development due to non-selective cytotoxicity, acid-labile glycosidic linkages, and poor physicochemical properties. Although prior structural modifications reduced the promiscuous toxicity of tunicamycins, the intrinsic 11'-{beta}-1''- trehalose-type glycosidic linkage remains chemically unstable, limiting biological durability. Here, we report a rationally engineered scaffold-stabilization strategy in which the acid-labile linkage is replaced with a chemically robust cyclitol framework, enabling the concise synthesis of chemically stable and water-soluble tunicamycin analogues in only 12 synthetic steps. From this platform, TM-Cy-TBPA (4) was identified as a lead DPAGT1 inhibitor that potently suppresses the proliferation of breast cancer cells by inducing G2-phase arrest followed by apoptosis, while exhibiting minimal cytotoxicity toward nontransformed cells. The compound shows improved solubility, and favorable pharmacokinetic exposure. These results establish tunicamycin cyclitol analogues as a structurally distinct class of selective DPAGT1-targeted anticancer agents and demonstrate that stabilization of the glycosidic linkage is an effective strategy for enhancing pharmacological selectivity, improving in vivo performance, and simplifying the synthetic route.

Engulfment and Cell Motility protein 1 (ELMO1) regulates cell migration, phagocytosis, and cytoskeletal remodeling, positioning it as a compelling therapeutic target across kidney diseases, oncology, enteric infections and inflammation. Despite this potential, no approved therapeutics or clinically validated small-molecule modulators of ELMO1 currently exist. ELMO1 functions by forming a complex with DOCK180 (or DOCK2) to activate the small GTPase Rac1, and the recent structural resolution of the ELMO1/DOCK2 complex now provides an opportunity to target this protein-protein interface directly. Here, we present the first investigation into the druggability of the ELMO1/DOCK2 complex and report the initial virtual screening to identify small-molecule inhibitors of this interaction. Molecular dynamics (MD) and free energy level (FEL) studies were carried out to validate the potential of the predicted hits. This work establishes a computational framework for the development of the first generation of ELMO1-targeted therapeutics. In addition to demonstrating the drugability of ELMO1, this work introduces two open-source Python tools for the rapid analysis and visualization of protein-protein interaction and ligand-protein MD trajectories from DESMOND output files. These tools are designed to be broadly accessible, offering practical utility to the wider DESMOND user community.

GPR183 is an oxysterol-sensing GPCR predominantly expressed in lymphoid organs and tissues. Activation of the receptor by oxysterol 7,25-OHC leads to Gi protein-mediated signaling as well as {beta}-arrestin2 recruitment. GPR183/oxysterol signaling modulates localization of lymphoid cells, consequently the receptor is associated with several inflammation-associated diseases and is an interesting potential drug target. Previously, we reported the discovery of moderately potent G protein-biased partial agonists for GPR183 from a virtual screening based on the scaffold of the antagonist NIBR189. Herein, we present the detailed structure-activity investigations and optimizations, which led to the identification of full agonists for GPR183 with complete bias for Gi protein signaling and low nanomolar potency, including 63 (TUG-2604) with potency and efficacy similar to 7,25-OHC. Notably, 63 was unable to induce migration of human dendritic cells but inhibited migration induced by 7,25-OHC. This compound will be valuable for further explorations of the signaling-specific function and drug target potential of GPR183.

Small molecule targeting of suppressive myeloid immune checkpoints remains a major challenge in cancer immunotherapy, particularly for non-enzymatic receptors lacking conventional druggable active sites. Leukocyte immunoglobulin-like receptor B4 (LILRB4/ILT3) is an immunosuppressive myeloid checkpoint implicated in tumor immune evasion, T-cell dysfunction, and resistance to immunotherapy across both solid and hematologic malignancies. Here, we report the discovery and characterization of GL-4512, a direct small molecule modulator of LILRB4 identified through a Dianthus-based temperature-related intensity change (TRIC) screening platform. Orthogonal biophysical studies, including microscale thermophoresis, surface plasmon resonance, and cellular thermal shift assays, confirmed direct target engagement with nanomolar affinity. Extensive microsecond molecular dynamics simulations combined with site-directed mutagenesis identified a previously unrecognized ligandable pocket within the flexible extracellular domain of LILRB4. Functionally, GL-4512 disrupted the immunosuppressive LILRB4-SCG2 signaling axis and suppressed downstream SHP1/SHP2 and STAT3 signaling. In patient-derived colorectal cancer and acute myeloid leukemia co-culture systems, pharmacological inhibition of LILRB4 restored anti-tumor immune activity, enhanced IFN-{gamma} and IL-2 production, increased cytotoxic T-cell activation, and reduced tumor-cell viability. GL-4512 additionally demonstrated favorable pharmacokinetic and safety properties supporting oral in vivo administration. In immunocompetent CT26 syngeneic colorectal tumors, once-daily oral treatment significantly suppressed tumor growth and enhanced intratumoral immune activation. Collectively, these findings establish LILRB4 as a tractable target for direct small molecule immunomodulation and support therapeutic targeting of suppressive myeloid immune checkpoints for cancer using non-biologic modalities.

Excessive osteoclast activity contributes to pathological bone loss in osteoporosis, rheumatoid arthritis, and osteolytic malignancies. The effects of small catechol derivatives on receptor activator of nuclear factor-{kappa}B ligand (RANKL)-induced osteoclastogenesis remain poorly understood. This study investigated the effects of 4-methylcatechol (4-MC) on RANKL-induced NF-{kappa}B activation and osteoclast differentiation. 4-MC reduced RANKL-induced NF-{kappa}B luciferase activity in HEK-293T/RANK cells. 4-MC also suppressed RANKL-induced TRAP activity in RAW264.7 cells in a concentration-dependent manner and reduced the number of TRAP-positive multinucleated osteoclasts, without affecting cell viability. Molecular docking predicted non-covalent binding of 4-MC within the ATP-binding hinge region of IKK{beta} (PDB: 4KIK), forming a close polar contact with Glu97, predicted hydrogen bonds with Cys99, and a hydrophobic contact with Ile165, within the pocket occupied by the co-crystallized inhibitor K252a. Covalent docking predicted that the oxidized quinone form of 4-MC engages Cys179 in the IKK{beta} activation loop. Quantum chemical calculations confirmed a markedly higher electrophilicity index for the oxidized quinone than for the parent catechol, supporting this mechanism. In silico ADMET profiling indicated favorable drug-likeness and safety. These findings identify IKK{beta} as a plausible molecular target of 4-MC through both non-covalent and covalent mechanisms. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=108 SRC="FIGDIR/small/741661v1_ufig1.gif" ALT="Figure 1"> View larger version (40K): org.highwire.dtl.DTLVardef@35a0d3org.highwire.dtl.DTLVardef@d19458org.highwire.dtl.DTLVardef@1623fadorg.highwire.dtl.DTLVardef@1429e8b_HPS_FORMAT_FIGEXP M_FIG C_FIG

Formyl peptide receptor 1 (FPR1) is a promising therapeutic target for the treatment of inflammatory and infectious diseases. Although multiple classes of peptides are known to modulate FPR1 activity, comprehensive studies systematically linking N-terminal modifications to binding, mechanism of action and functional outcomes remain limited. In this study, we aimed to rationalise the binding and activity of three peptide series (MLF, FLFLF, and MLFYLA) featuring diverse N-terminal modifications from a structural point of view. A combined in silico and in vitro approach was employed to evaluate the activity of newly designed peptide agonists and to generate mechanistic binding hypotheses. Our findings led to the identification of a transmembrane binding pocket in FPR1, which provides a structural basis for the observed antagonist and partial agonist behaviours and leads to a generalisable strategy for tuning the functional outcome of peptidic ligands.

Contemporary RNA-binding ligand collections are biased toward aromatic scaffolds, although it remains unclear whether this over-representation reflects an intrinsic requirement for productive RNA recognition or historical discovery bias. Here, using a modular "host-guest" ligand design strategy targeting the env8 cobalamin (Cbl) riboswitch, we established a common molecular framework to directly evaluate whether aromaticity is fundamentally required for RNA binding. We synthesized a focused series of cyclic aliphatic {beta}-axial Cbl derivatives, expanding the ligand library and enabling matched-pair comparisons to isolate the contribution of aromaticity to molecular recognition. Aliphatic ligands supported high-affinity RNA binding and regulatory activity comparable to aromatic analogues, with several derivatives exhibiting equal or greater affinity than their matched aromatic counterparts. Structural analyses revealed that aromatic and aliphatic ligands engage the same cryptic RNA binding site through distinct modes of molecular recognition, including nucleobase {pi}-stacking and alternative van der Waals packing arrangements. Machine learning analyses further demonstrated that the physicochemical features associated with affinity extend beyond aromaticity itself and instead reflect a broader combination of shape, surface, heteroatom, and electronic properties. Together, these findings demonstrate that high-affinity RNA binding can arise from multiple structural and physicochemical solutions, suggesting that aromaticity is not uniquely privileged as a strategy for RNA-targeted ligand design and supporting broader exploration of underrepresented RNA-binding chemotypes.

Premarineosin A undergoes rapid, chemoselective C12 halogenation under mild conditions, providing brominated, chlorinated, fluorinated, and iodinated analogs. These derivatives retained potent antiplasmodial activity against both chloroquine-sensitive and -resistant Plasmodium falciparum strains and displayed smaller reductions in potency against the resistant strain than the parent compound.

IL-4Ra is a key regulatory receptor for type 2 inflammatory responses, signal transduce from IL-4 and IL-13 through binding with IL-13Ra or the gamma c chain to activate the downstream JAK1-STAT6 pathway. IL-4Ra is currently the most successful "golden target" in the field of allergic disease therapeutics. Its representative monoclonal antibody drug, dupilumab, through the dual blockade mechanism of IL-4/IL-13 has pioneered a new era of precision therapy for type 2 inflammation. In our manuscript, we employed large-scale deep learning-based computational design methods to de novo design mini-protein antagonists specific for both human and mouse IL-4Ra. The binding affinity was improved from 22.1 nM to 569 pM through partial diffusion. The design accuracy and binding specificity were verified through X-ray crystallography and biochemical studies. In vitro IL4/IL13 signal blockade assays revealed that de novo designed monomeric mini-protein antagonist exhibited comparable blockade ability to bivalent dupilumab. In vivo pharmacokinetic half-life studies demonstrated that fusion to an HSA-binding domain extended the half-life of the mini-protein antagonist from 2.7 hours to 60.6 hours. The IL-4Ra mini-protein antagonist had excellent expression levels, solubility and thermal stability. The IL4/IL13 signal blockade ability remained unchanged even after being heating to 95 degrees. In conclusion, through large-scale cluster computing and deep learning-based de novo design, we developed well-performed IL-4Ra mini-protein antagonist, and demonstrates certain potential for drug development.

New antitubercular agents acting through previously unexploited mechanisms are urgently needed. Using a drug-repurposing platform, we identified TI-374, a hydroxamic acid containing compound that inhibits Mycobacterium tuberculosis (Mtb) with sub-micromolar potency. Systems analysis, resistance mapping, supplementation assays, and biochemical studies showed that TI-374 inhibits two PLP-dependent aminotransferases, AlaA and HisC1. However, its activity is driven primarily by irreversible inhibition of AlaA, whereas HisC1 inhibition is only partially reversible, revealing differential reversibility between the two targets. Optimization yielded TI-801, a low-nanomolar AlaA inhibitor. Both compounds remained active against intracellular Mtb in a macrophage infection model, where alanine supplementation did not rescue growth, indicating that host-derived alanine is unlikely to bypass AlaA inhibition. Genetic deletion of alaA attenuated Mtb survival in a murine infection model. Together, these findings support AlaA as a host-relevant metabolic vulnerability in Mtb and TI-801 as a mechanistic chemical probe for its validation as an antitubercular target.

We present a generative machine learning pipeline for the design of linear antimicrobial peptides (AMPs). To extend diversity beyond synthetically validated peptide datasets ([~]7,000 entries), we apply transfer learning by training a Generative Pre-trained Transformer (GPT) on the genomically derived AMPSphere dataset ([~]863,000 entries), before fine-tuning on the Database of Antimicrobial Activity and Structure of Peptides (DBAASP). We assess the filtered sequences with a committee of Minimum Inhibitory Concentration (MIC) predictive models built with a Bi-LSTM architecture, and ESM-2 and QSAR feature vectors. The fine-tuned GPT model produced a 28% reduction in test loss compared to training on DBAASP alone, and generates peptides that are simultaneously more novel and more physicochemically plausible. Our top-ranked candidates are predicted to possess antimicrobial activity comparable to polymyxin B. We anticipate this transfer-learning approach is broadly applicable for leveraging massive, unlabelled genomic datasets to enrich targeted peptide discovery. Our identified sequences have been submitted to the 2027 AMP Challenge1 (team name VINCI) for experimental validation, and the complete codebase and workflow are open source2.

Glioblastoma (GBM) is the most common primary malignant brain tumor and is typically fatal. GBM therapies are hindered by the impermeability of the blood brain barrier (BBB), the diffuse and infiltrative nature of the tumor, and the high heterogeneity of intratumoral GBM cells. Aptamers are short, synthetic, folded single strands of RNA or DNA or analogs that bind targets with high affinity and specificity. Aptamers are developed via the principles of natural selection, permitting an unbiased approach to therapeutic development. Thus, rather than using rational design to select a target and develop a targeting moiety, cycles of Systematic Evolution of Ligands by Exponential Enrichment (SELEX) are employed in cell culture or in vivo to identify aptamers against unknown targets. Antibody drug conjugates (ADCs) have shown some efficacy for GBM but are limited by their large size and thus depend on leakiness of the BBB. We have recently applied in vivo SELEX to develop anti-GBM aptamers (six-fold smaller in mass than IgG antibodies) and to select aptamer-drug conjugates. Here we report attempts to focus aptamer selection toward internalizing drug-delivery targets and resulting challenges involving loss of tumor specificity in vivo.