Amelia A Fuller1, Amy B Dounay2, Douglas Schirch3, Daniel G Rivera4, Karl A Hansford5, Alysha G Elliott5, Johannes Zuegg5, Matthew A Cooper5, Mark A T Blaskovich5, Jacob R Hitchens6, Sarah Burris-Hiday6, Kristiana Tenorio1, Yanira Mendez4, J Geno Samaritoni6, Martin J O'Donnell6, William L Scott6. 1. Santa Clara University, Department of Chemistry & Biochemistry, Santa Clara, California 95053, United States. 2. Department of Chemistry and Biochemistry, Colorado College, 14 E. Cache La Poudre Street, Colorado Springs, Colorado 80903, United States. 3. Department of Chemistry, Goshen College, 1700 South Main Street, Goshen, Indiana 46526, United States. 4. Center for Natural Products Research, Faculty of Chemistry, University of Havana, Zapata y G, 10400, La Habana, Cuba. 5. Community for Open Antimicrobial Drug Discovery, Centre for Superbug Solutions, Institute for Molecular Bioscience, The University of Queensland, St. Lucia, Queensland 4072, Australia. 6. Department of Chemistry and Chemical Biology, Indiana University Purdue University Indianapolis, 402 N. Blackford Street, Indianapolis, Indiana 46202, United States.
Abstract
New antibiotics are urgently needed to address increasing rates of multidrug resistant infections. Seventy-six diversely functionalized compounds, comprising five structural scaffolds, were synthesized and tested for their ability to inhibit microbial growth. Twenty-six compounds showed activity in the primary phenotypic screen at the Community for Open Antimicrobial Drug Discovery (CO-ADD). Follow-up testing of active molecules confirmed that two unnatural dipeptides inhibit the growth of Cryptococcus neoformans with a minimum inhibitory concentration (MIC) ≤ 8 μg/mL. Syntheses were carried out by undergraduate students at five schools implementing Distributed Drug Discovery (D3) programs. This report showcases that a collaborative research and educational process is a powerful approach to discover new molecules inhibiting microbial growth. Educational gains for students engaged in this project are highlighted in parallel to the research advances. Aspects of D3 that contribute to its success, including an emphasis on reproducibility of procedures, are discussed to underscore the power of this approach to solve important research problems and to inform other coupled chemical biology research and teaching endeavors.
New antibiotics are urgently needed to address increasing rates of multidrug resistant infections. Seventy-six diversely functionalized compounds, comprising five structural scaffolds, were synthesized and tested for their ability to inhibit microbial growth. Twenty-six compounds showed activity in the primary phenotypic screen at the Community for Open Antimicrobial Drug Discovery (CO-ADD). Follow-up testing of active molecules confirmed that two unnatural dipeptides inhibit the growth of Cryptococcus neoformans with a minimum inhibitory concentration (MIC) ≤ 8 μg/mL. Syntheses were carried out by undergraduate students at five schools implementing Distributed Drug Discovery (D3) programs. This report showcases that a collaborative research and educational process is a powerful approach to discover new molecules inhibiting microbial growth. Educational gains for students engaged in this project are highlighted in parallel to the research advances. Aspects of D3 that contribute to its success, including an emphasis on reproducibility of procedures, are discussed to underscore the power of this approach to solve important research problems and to inform other coupled chemical biology research and teaching endeavors.
The increasing
rate of infections
by multidrug resistant (MDR) microbes constitutes a serious threat
to global public health and economic output.[1] MDR infections are a consequence of overuse and misuse of existing
antibiotics over the past several decades coupled with the ability
of bacteria and fungi to rapidly develop varied resistance mechanisms.[2−4] There is a critical need to prioritize the identification and development
of new therapeutic agents that can arrest and/or prevent microbial
growth, including compounds that employ novel molecular mechanisms
of action.Phenotypic screening is an efficient approach to
identify new compounds
that inhibit bacterial and fungal growth without bias toward a specific
molecular mechanism of action.[5,6] Addressing the need
for a reliable phenotypic screening resource, the Community for Open
Antimicrobial Drug Discovery (CO-ADD) was launched in 2015 and has
since tested over 300,000 compounds.[7−9] It affords free access
to assess the antimicrobial activity of submitted compounds (only
1 mg sample required) by testing their ability to inhibit growth of
“ESKAPE” pathogens: Escherichia coli, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and methicillin-resistant Staphylococcus aureus (MRSA), and the yeasts Cryptococcus
neoformans and Candida albicans. To leverage
this powerful resource to discover antimicrobial molecules, an important
synthetic need was identified: preparation of a large set of compounds
wherein varied structures and functionality were prioritized.Large numbers of molecules with diverse functionality are readily
and reproducibly available through the Distributed Drug Discovery
(D3) program implemented at a network of global schools.[10−15] Briefly, D3 enlists undergraduate students enrolled in organic chemistry
laboratory courses to prepare combinatorial compound arrays for biological
evaluation. To date, D3 has successfully synthesized analogs of antimelanoma
compounds, for example.[13] Indeed, a growing
body of literature reports significant research outcomes from curriculum-based
undergraduate research experiences (CUREs).[16−23] In addition to providing a powerful method to achieve research goals,
CUREs, including D3, benefit students’ education. CUREs deepen
students’ understanding of scientific concepts, enhance their
confidence for future experiences, and equip them to think independently.[24,25] To meet the important challenge of identifying new antimicrobial
compounds, a D3/CO-ADD collaboration integrates the critical need
for new antibiotics with the educational priorities of undergraduate
organic chemistry students (Figure ).
Figure 1
Schematic illustration of the parallel research process
(blue)
and education (tan) work flows in the D3/CO-ADD collaboration.
Schematic illustration of the parallel research process
(blue)
and education (tan) work flows in the D3/CO-ADD collaboration.This article details the successful identification
of antimicrobial
compounds through a multi-institutional collaboration involving D3
combinatorial library synthesis and CO-ADD testing. Collaborators
at five international institutions—IUPUI, Santa Clara University,
Colorado College, Goshen College, and the University of Havana—synthesized
76 functionally varied bio- and peptidomimetic molecules based on
five structurally unique scaffolds 1–5 (Figure ). Of the
76 unique structures tested in a primary screen at CO-ADD, 26 compounds
met a threshold level of antimicrobial growth inhibition. Follow-up
testing confirmed the ability of two unnatural dipeptides 4 to inhibit the growth of Cryptococcus neoformans with a minimum inhibitory concentration (MIC) ≤ 8 μg/mL.
Further, the successful identification of potent antimicrobial compounds
showcases the value of the D3 approach to discover new bioactive compounds
while simultaneously positively impacting undergraduate educational
experiences.
Figure 2
Structures of the five molecular scaffolds prepared and
tested.
Structures of the five molecular scaffolds prepared and
tested.
Results and Discussion
Scaffold and Experimental
Design Rationale
Access to
diverse, biomimetic molecules was prioritized in library scaffold
design. Each scaffold can be differently functionalized at two or
more sites, thereby providing access to a wide variety of structures
for screening. Recognizing that CO-ADD offered a phenotypic screen—a
successful tool in the discovery of many new medicines—a specific
molecular mechanism of antimicrobial action was not targeted.[5,6] Nonetheless, abundant examples of bioactive molecules that contain
each scaffold exist, and expectations of antimicrobial activity were
reasonable. Marketed pharmaceuticals and bioactive analogs that include
these scaffolds have been comprehensively surveyed,[26] and a few examples were highlighted.The following
drugs all contain N-acylated amino acid motifs found
in scaffolds 1 and 2: Alvimopan (GI surgery
recovery); l-DOPA (Parkinsonism); Folic Acid (Vitamin B9);
Lacosamide (epilepsy); Levothyroxine (hypothyroidism); Liothyronine
(hypothyroidism); Lymecycline (acne, some bacterial infections); Melphalan
(multiple myeloma); Methotrexate (cancers); Mimosine (cancer); Pemetrexed
(nonsmall cell lung cancer); Pralatrexate (peripheral T-cell lymphoma);
Raltiterxed (malignant neoplasm).Like scaffold 3, these drugs all contained α-amino
acid amides: Atazanavir (HIV); Clindamycin (anaerobic bacteria); Cobicistat
(HIV); Valium (anxiety disorders); Lenalidomide (multiple myeloma);
Lidocaine (anesthesia); Lisdexamfetamine (ADHD); Lopinavir (HIV);
Pomalidomide (multiple myeloma); Ritonavir (HIV); Saxagliptin (type
2 diabetes mellitus); Thalidomide (erythema nodosum leprosum).For Scaffold 4 (dipeptides), bioactive examples included
Bortezomib (multiple myeloma); Ceftaroline (bacterial infections);
Enalapril and Lisinopril (hypertension); Penicillin V (bacterial infections);
Cialis (erectile dysfunction); Ximelagatran (deep vein thrombosis).
Additionally, there are antimicrobial unnatural dipeptides that deliver
their toxic payload through the microbe’s specific dipeptide
permease.[27]A bioactive arylopeptoid[28−30] (Scaffold 5 analog)
was reported.[31] Further, the N-substituents in the oligo-amide backbone of arylopeptoid scaffold 5 are analogous to those found in peptoids; many examples
of anti-infective peptoids have been reported.[32]D3 methods were identified as an efficient approach
to prepare
an initial screening library of widely varied analogs within each
scaffold. The D3 strategy involved students enrolled in independent
or course-based research experiences executing straightforward, highly
reproducible combinatorial procedures on solid support. In the hands
of novice student researchers, reactions on solid support are highly
successful owing to the introduction of reagents in large excess,
simple workups, and the absence of purification steps for synthetic
intermediates. Meeting the need for large numbers of compounds, individual
students or student teams synthesized arrays of six compounds using
the “Bill-Board” apparatus (Figure A). The Bill-Board is a commercially available,
affordable, and compact array of six solid-phase reaction vessels.[10]Figure B shows an example combinatorial array that was prepared by
a student group using this equipment.
Figure 3
Bill-Board apparatus and an example combinatorial
array. A) Picture
of the Bill-Board equipment for parallel solid phase synthesis; B)
Example combinatorial array of scaffold 1 products. Phenylalanine
(top row, green) or t-butyl-protected tyrosine (bottom
row, blue) was N-acylated with 4-, 3-, or 2-fluorobenzoic
acid (left/violet, middle/gold, right/red columns, respectively).
Bill-Board apparatus and an example combinatorial
array. A) Picture
of the Bill-Board equipment for parallel solid phase synthesis; B)
Example combinatorial array of scaffold 1 products. Phenylalanine
(top row, green) or t-butyl-protectedtyrosine (bottom
row, blue) was N-acylated with 4-, 3-, or 2-fluorobenzoic
acid (left/violet, middle/gold, right/red columns, respectively).The participation of several institutions and scientists
was leveraged
to enhance the number and diversity of examples prepared as well as
the educational experiences of the students involved in these projects.
Because D3 engaged many researchers at a variety of institutions,
collaborators selected the scaffold chemistry most compatible with
their school’s resources, expertise, and skill level. Simultaneously,
students were highly motivated by the opportunity to contribute to
finding solutions to an important societal problem while learning
essential organic chemistry concepts and experimental techniques.Reproducibility, a fundamental science requirement, was prioritized
in the synthesis and evaluation of the initial screening libraries.
Despite its recognized importance, how and when reproducibility is
demonstrated is the subject of much discussion and controversy.[33−36] We demonstrated in this collaboration that meaningful replication
goes well beyond a single researcher and his or her own experimental
results. Except for four structures (1.5, 1.27, 4.12, and 4.13), each of the compounds
was synthesized in replicate in one or more of the varied environments
shown in Table , always
by two or more scientists, often at different levels of expertise,
and sometimes at different global locations. An emphasis on meaningful
replication in these experiments had tandem impacts: it strengthened
synthetic and biological results and offered a robust training opportunity
for students just learning the research process.
Table 1
Varied Replication Location and Environments
for Scaffold Compounds
scaffold
replication location(s)
laboratory environment(s)
Scaffold 1
multisite replication
(Colorado College, University of Havana,
Goshen College, IUPUI)
undergraduates engaged in independent
faculty-led research;
large undergraduate laboratory course; large scale workshop
Scaffold 2
internal replication (IUPUI)
large scale undergraduate laboratory course
Scaffold 3
internal replication (IUPUI)
large scale undergraduate laboratory course
Scaffold 4
internal replication (IUPUI)
undergraduates in independent faculty-led research group
Scaffold 5
bilateral replication (Santa
Clara University, IUPUI)
undergraduates in independent
faculty-led research group
The inclusion of a “control” reaction
in the six-reaction
array represented a second way in which reproducibility and experimental
design were emphasized. Successful synthesis of the control demonstrated
students’ mastery of the synthetic techniques applied to the
preparation of the five new compounds. Notably, the fate of the new
syntheses was not predetermined, an aspect of authentic research.
When controls gave the expected result but a new synthesis did not,
the unexpected observation, if replicated, became an incentive to
propose alternative explanations rather than dismiss it as due to
“failure of technique”. Although we do not report any
examples that follow this path in this work, this experimental design
feature is important to teach students that properly conducted “unsuccessful”
experiments has previously led to hypotheses, further research, and
discoveries.[37]
Library Synthesis
Scaffold
1
Examples of the simplest scaffold, the N-acylated natural amino acids (Scheme , 1.1–1.27), comprised
diversity from the commercially available combinatorial reagents,
Fmoc-amino acid-functionalized Wang resins and carboxylic acids. The
27 analogs were prepared in three synthetic steps: (1) removing the
Fmoc protecting group from the amino acid-functionalized resin, (2)
coupling to a carboxylic acid, and (3) liberating the product from
the resin with concomitant removal of amino acid side-chain protection
(Scheme ). To access
structures 1.1–1.27, either phenylalanine, tyrosine,
or isoleucine was acylated with benzoic acid or a substituted benzoic
acid derivative. Because of the brevity of the procedure and the availability
of inexpensive combinatorial reagents, a large number of student researchers
prepared variants of 1 (Table ).[15]
Scheme 1
Synthesis
of 1.1–1.27
Reaction times were
varied
to match instructional laboratory schedules, as detailed in the methods. NMP: N-methyl-2-pyrrolidone,
DIC: N,N′-diisopropylcarbodiimide,
HOBt: hydroxybenzotriazole, TFA: trifluoroacetic acid.
Synthesis
of 1.1–1.27
Reaction times were
varied
to match instructional laboratory schedules, as detailed in the methods. NMP: N-methyl-2-pyrrolidone,
DIC: N,N′-diisopropylcarbodiimide,
HOBt: hydroxybenzotriazole, TFA: trifluoroacetic acid.
Scaffolds 2–4 via Intermediate A
Three scaffolds—N-acylated unnatural amino acids 2 (2.1–2.12), unnatural α-amino acid amides 3 (3.1–3.12), and unnatural dipeptides 4 (4.1–4.13) that contain an unnatural amino acid—were prepared from
a common, racemic, Wang resin-bound unnatural amino acid intermediate, A (Scheme ). Consequently, all the final products 2-4 were either racemic or a mixture of diastereomers. Screening of
limited stereochemical mixtures was considered an advantage in preliminary
identification of bioactive molecules.
Scheme 2
Synthesis of 2.1–2.12, 3.1–3.12, and 4.1–4.13 via Intermediate A
Reaction times were
varied
to match instructional laboratory schedules, as detailed in the methods. THF: tetrahydrofuran, MeOH: methanol, NMP: N-methyl-2-pyrrolidone, DIC: N,N′-diisopropylcarbodiimide, DIEA: N,N′-diisopropylethylamine, HOBt: hydroxybenzotriazole,
TFA: trifluoroacetic acid.
Synthesis of 2.1–2.12, 3.1–3.12, and 4.1–4.13 via Intermediate A
Reaction times were
varied
to match instructional laboratory schedules, as detailed in the methods. THF: tetrahydrofuran, MeOH: methanol, NMP: N-methyl-2-pyrrolidone, DIC: N,N′-diisopropylcarbodiimide, DIEA: N,N′-diisopropylethylamine, HOBt: hydroxybenzotriazole,
TFA: trifluoroacetic acid.To access intermediate A, a resin bearing the benzophenone
imine of glycine was alkylated.[38−40] This step introduced considerable
structural diversity from a rich pool of alkyl or benzyl halides,
and stereoisomeric mixtures were formed. Acidic hydrolysis of the
imine provided the key resin-bound, racemic, unnatural amino acid
intermediate A.[38,39]
Scaffold
2
N-acylated compounds 2.1–2.12 were prepared by DIC/HOBt-mediated reaction
of 12 substituted phenylalanine analogs of A with one
of four substituted benzoic or heteroaromatic carboxylic acids, followed
by acidic cleavage from the resin.
Scaffold 3
Twelve
substituted phenylalanine amide analogs
(3.1–3.12) were prepared directly from aminolytic
cleavage of the resin link in A with ammonia or methylamine.
Scaffold 4
Unnatural dipeptides 4.1–4.13 were accessed by acylating two substituted fluorophenyalanine analogs A with seven different BOC-protected amino acids. This was
followed by acidic cleavage from the resin with concomitant N- and side chain functionality deprotection.
Scaffold
5
To prepare the final scaffold, the arylopeptoids
(Scheme , 5.1–5.12),[28−30] a chlorotrityl chloride resin was functionalized
with 3-(chloromethyl)benzoic acid, and the primary chloride was subsequently
displaced by one of six primary amines. The resultant secondary amine
was acylated with 3-(chloromethyl)benzoyl chloride. Again the primary
chloride was displaced by one of four primary amines, and the N-terminus was capped with acetic anhydride before cleaving
the molecule from the resin under acidic conditions.[30] Arylopeptoids 5.1–5.12 derived structural
diversity from the alkyl, heterocyclic, and aromatic primary amines
incorporated.
For each scaffold, at least 12 representative
compounds were prepared in duplicate or quadruplicate (with the exception
of 1.5, 1.27, 4.12 and 4.13, which were prepared only once). These replications were
always by separate researchers. Crude purities (typically >85%, Supplementary Table S2) and identities of products
were assessed by liquid chromatography–mass spectrometry (LC-MS).
These crude products were suitable for biological evaluation without
further purification. Select compounds were purified by chromatography,
most commonly because the curriculum plan included a purification
step.The easy synthetic access to a diverse set of analogs,
showcased by the 76 compounds prepared here, enhances the value of
these scaffolds as a continuing source of potential drug candidates.
The procedures for their preparation are rigorously validated and
accessible to chemists working in varied laboratory conditions,[12] enabling ready design and synthesis of new analogs.
Future synthetic targets will explore key structure–activity
relationships for molecules that exhibited biological activity.
Biological evaluation
All compounds synthesized were
submitted to CO-ADD for evaluation of their ability to inhibit the
growth of five bacteria (Escherichia coli, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa and Staphylococcus aureus), and two yeasts (Candida albicans and Cryptococcus neoformans). The complete set of results is in Supplementary Table S2. Impressively, 26 of the 76 unique molecules inhibited
growth of one or more microbes in the primary screen at 32 μg/mL.
Structures of all molecules with biological activity are shown in Figure . Seventeen unique
molecules were identified as being “partially active”
(i.e., they inhibited 50–80% of growth of one or more pathogens
in the assay, Figure A). The partially active molecules comprised examples from all five
scaffolds, suggesting that any of these is a promising template for
further synthesis and evaluation. Five compounds showed partial activity
replicated across duplicate lots (2.8, 3.2, 4.8, 4.11, and 5.4). Nine
unique structures were identified as “active” (i.e.,
they inhibited >80% of pathogen growth, Figure B), and the activity of five of these (3.10, 4.1, 4.4, 4.7, 4.9) was replicated in both sets of duplicate compounds.
The active molecules include three structural scaffolds: N-acylated natural amino acids (1.6 and 1.12), an unnatural α-amino acid amide (3.10), and
unnatural dipeptides (4.1, 4.4, 4.7, 4.9, 4.12, 4.13).
Figure 4
Structures
of molecules with activity in the biological screens
at CO-ADD. The pathogen inhibited is indicated below each compound.
*The compound showed replicated biological activity when duplicate
compounds were tested. A) Structures that inhibited 50–80%
of pathogen growth (“partially active”) in the primary
screen at 32 μg/mL; B) Structures that inhibited >80% of
pathogen
growth (“active”) in the primary screen. Structures 4.1 and 4.4 in the red box were active in preliminary
screen, with subseqently confirmed MIC values and no cytotoxicity
at the highest concentrations tested in the secondary hit confirmation
screen.
Structures
of molecules with activity in the biological screens
at CO-ADD. The pathogen inhibited is indicated below each compound.
*The compound showed replicated biological activity when duplicate
compounds were tested. A) Structures that inhibited 50–80%
of pathogen growth (“partially active”) in the primary
screen at 32 μg/mL; B) Structures that inhibited >80% of
pathogen
growth (“active”) in the primary screen. Structures 4.1 and 4.4 in the red box were active in preliminary
screen, with subseqently confirmed MIC values and no cytotoxicity
at the highest concentrations tested in the secondary hit confirmation
screen.Microbial growth inhibition was
not always reproduced between two
lots of the same compound. For example, the inhibition of the growth
of three organisms observed for one lot of 1.12 was not
replicated in the other three lots. There are serveral possible sources
for these inconsistencies, including differences in actual concentrations
and/or purity of the two or more lots of compounds submitted, errors
in compound transfers, and biological assay variability. The specific
causes of nonreplicated activity across duplicate lots were not pursued.
Nonetheless, the variability between sets of duplicate compounds reiterated
that replication at all stages of the research process is essential;
decisions are not based on a single observation or experiment.Each lot of the 26 compounds that showed at least partial activity
in the preliminary screening was subsequently subjected to follow-up
hit confirmation screening, with MICs for each microbe determined
contingent upon verification of activity. Compounds were also tested
for cytotoxicity to a mammalian cell line (HEK293, human embryonic
kidney). From this more stringent assay, two unnatural dipeptides
(4.1, 4.4, Figure B) were confirmed to inhibit growth of C. neoformans with an MIC ≤ 8 μg/mL. This value
is comparable to the MIC against this fungus measured for the common
antifungal fluconazole under identical screening conditions.[41] It was encouraging that neither of these unnatural
dipeptides inhibited the viability of HEK293 cells at the highest
concentrations tested (32 μg/mL) (see Supporting Information). The relatively low number of molecules that emerged
as confirmed hits underscores the importance of applying this rigorous
two-step screening process to identify new bioactive molecules.In this work, we have demonstrated that the D3/CO-ADD collaboration
is a powerful strategy to couple combinatorial synthesis and phenotypic
screening to identify new antimicrobial compounds. The identification
of two readily accessible molecules that inhibit Cryptococcus
neoformans growth (4.1 and 4.4),
verified over two screening steps (preliminary and hit confirmation),
is an exciting initial accomplishment. A more detailed investigation
to validate and evaluate the scope of the antifungal activity of 4.1, 4.4 and analogs, as single diastereomers,
is underway. Further, the successful preparation of 76 molecules comprising
five different scaffolds highlights the reliability of the procedures
developed. In parallel, student researchers were equipped with valuable
hands-on learning through the D3 processes.Based on these experiences
and previous reports,[11,15,28] we offer our perspectives on important factors
for the success, sustainability, and future of the D3/CO-ADD collaboration.
One key to sustained success is that D3/CO-ADD experiments meet the
resources and needs of particular institutions (e.g., number of students,
costs, available instrumentation). They employ cost-effective, operationally
straightforward equipment, like the Bill-Board[42,43] to prepare numerous and diverse analogs. In doing so, both the clarity
of procedures and robustness of chemistry are validated. Finally,
we find that this project provides a meaningful context for learning
basic organic chemistry experimental techniques and theory. The D3/CO-ADD
collaboration model is well-positioned to be a template for other
investigators who may adapt these strategies to design new scaffolds
for synthesis and subsequent biological evaluation, thereby advancing
the pace of discovery of new antimicrobial compounds.
Methods
Chemistry
Safety Note
DIC is a known irritant and contact sensitizer.[44] Care with any peptide coupling reagents is advised
owing to their documented health hazards.[45]
General Notes
The general procedures documented below
for the syntheses of Scaffolds 2 and 5 compounds
were performed using the methods previously described.[10−13,28,38] The Bill-Board apparatus[42] was used for
the synthesis of all scaffolds. The utility and accessibility of this
equipment has been previously described in detail.[10−12,15,28,46] Slight modifications to general procedures were implemented in different
laboratory environments, and reactions outcomes were comparable despite
these changes. Reaction times were varied to accommodate the frequency
of laboratory meetings for students enrolled in organic chemistry
classes. Reactions were performed in some laboratories with agitation
provided by a motor-driven rotation assembly. However, reaction outcomes
were not compromised if the Bill-Board was allowed to stand stationary
after manual inversion of the Bill-Board a few times to effect mixing.
Additionally, two procedures for cleavage of the reaction products
from the resin have been used effectively and interchangeably. Sources
of materials as well as the preparation of the benzophenone imine
of glycine-Wang resin used for the synthesis of intermediate A are detailed in the Supporting Information. Structures, purities, masses, and school source for all replicates
of all compounds prepared are tabulated in Supporting Information Table S2.
Synthesis of N-Acylated Natural Amino Acids
(1.1–1.26)
These compounds were prepared
according to previously reported methods,[15] which are further detailed in the Supporting Information.
Synthesis of Unnatural Amino Acid Intermediate A
Intermediate A was prepared as previously
reported.[10,12] Details of the synthesis are included in
the Supporting Information.
Synthesis
of N-Acylated Unnatural Amino Acids (2.1–2.12)
These compounds were prepared according to previously
reported methods;[10] these are further detailed
in the Supporting Information.
Synthesis
of α-Amino Acid Amides (3.1–3.12)
From intermediate A, reaction vessels were
washed 3 × 2 mL with THF, and reaction vessel bottom caps were
replaced. Either ammonia (2.5 mL of 7 N solution in methanol) or methylamine
(2.5 mL of a 33% solution in ethanol) were added. The Bill-Board was
capped and inverted three times, then allowed to sit at RT for 12
days. The reaction vessel caps were then removed, and the solution
was collected into individually labeled, tared vials. Each reaction
vessel was rinsed with an additional 2 × 2 mL with THF. A small
aliquot of the filtrate (100 μL) was evaporated to dryness for
LC/MS analysis. The remainder was concentrated by evaporation under
a stream of N2.
Synthesis of Dipeptides (4.1–4.13)
From intermediate A, the reaction vessels
were capped
at the bottoms. A solution was prepared of the appropriate acid (0.25
M solution in 0.25 M HOBt in NMP). To each reaction vessel, 1 mL of
the appropriate solution was added (0.25 mmol acid, 5 equiv acid,
0.25 mmol HOBt, 5 equiv HOBt) followed by 0.5 mL of DIC solution (0.5
M in NMP, 0.25 mmol, 5 equiv). The tops of the reaction vessels were
capped, and the Bill-Board was allowed to rotate for 2–5 days.
The reaction vessels were uncapped, and each was washed twice with
NMP, twice with THF, and thrice with CH2Cl2.
Reaction vessels were capped at the bottom, then each was treated
with 2 mL of a mixture of TFA/CH2Cl2/H2O for 30 min. The reaction vessel caps were then removed, and the
solution was collected into individually labeled, tared vials. Each
reaction vessel was rinsed with an additional 2 mL of the cleavage
solution, then 2 mL CH2Cl2. A small aliquot
of the filtrate (100 μL) was evaporated to dryness and was analyzed
by LC/MS. The remainder was concentrated by evaporation under a stream
of N2 (effluent TFA vapor was scrubbed in a caustic solution
of sodium hydroxide).
Synthesis of Arylopeptoids (5.1–5.12)
The preparation of these was carried out according to
previously
reported methods;[28] these are further detailed
in the Supporting Information.
LC/MS Analysis
of Synthetic Products
Molecules prepared
were characterized exclusively by LC/MS to evaluate purity and identity
(methods detailed in the Supporting Information). Crude purities of synthesized products were determined by integration
of the chromatograms (Table S2).
Preparation
of Samples for Submission to CO-ADD
Solutions
of samples were prepared in known volumes of either methanol (scaffolds 2–4) or acetone (scaffolds 1 and 5). An aliquot representing 1.0 mg was then transferred to
a barcoded vial provided by CO-ADD and the solvent was removed by
evaporation using a stream of nitrogen gas.
Biology
All preliminary screening and hit confirmation
assay results are tabulated in Table S2.
Preliminary Screening Sample Preparation
Samples received
by CO-ADD were stored frozen at −20 °C. Samples were prepared
in DMSO and water to a final testing concentration of 32 μg/mL
or 20 μM in 384-well, nonbinding surface plate (NBS) for each
bacterial/fungal strain, and in duplicate (n = 2),
and keeping the final DMSO concentration to a maximum of 1% DMSO.
All the sample preparation solution transfers were done using liquid
handling robots.
Preliminary Screening Assays
Preliminary
antibacterial
and antifungal screening assays were carried out following reported
procedures.[9] Additional details are in
the Supporting Information.
Preliminary
Screening Analysis of Assay Results
Percentage
growth inhibition was calculated for each treated well using the absorbance
readouts, in comparison with median absorbance value of untreated
bacteria (positive growth control) and with median absorbance value
of media only (negative growth control):The significance of the inhibition values
was determined by modified Z-scores, calculated using the median and
MAD of the samples (no controls) on the same plate. In the preliminary
screening, samples with inhibition value above 80% and Z-Score above
2.5 for either replicate (n = 2 on different plates)
were classed as actives. Samples with inhibition values between 50–80%
and Z-Score above 2.5 for either replicate (n = 2
on different plates) were classed as partial actives.
Preliminary
Screening, Antibiotic Standards Preparation, and
Quality Control
Colistin and Vancomycin were used as positive
bacterial inhibitor standards for Gram-negative and Gram-positive
bacteria, respectively. Fluconazole was used as a positive fungal
inhibitor standard for C. albicans and C.
neoformans. The antibiotics were provided in four concentrations,
with 2 above and 2 below their MIC values, and plated into the first
eight wells of column 23 of the 384-well NBS plates. The quality control
(QC) of the assays was determined by the antimicrobial controls and
the Z′-factor (using positive and negative controls). Each plate was deemed to fulfill the
quality criteria (pass QC), if the Z′-factor was above 0.4,
and the antimicrobial standards showed full range of activity, with
full growth inhibition at their highest concentration, and no growth
inhibition at their lowest concentration.
Hit Confirmation Screening,
MIC Determination, and Cytotoxicity
Assay
Compounds identified as partially active or active
in the preliminary screen were subjected to hit confirmation screening,
MIC determination, and cytotoxicity assays following reported methods.[9] Additional details are provided in the Supporting Information.
Hit Confirmation Quality
Control
All screenings were
done as two replica (n = 2), with both replicas on
two different plates, but from single plating and done in a single
screening (microbial incubation). In addition, two values are used
as quality control for individual plates:and standard antibiotic controls at different
concentrations (above and below their MIC). The plate passes the quality
control if Z′-Factor >0.4 and standards are active and inactive
at highest and lowest concentrations, respectively.
Authors: Jessica M A Blair; Mark A Webber; Alison J Baylay; David O Ogbolu; Laura J V Piddock Journal: Nat Rev Microbiol Date: 2014-12-01 Impact factor: 60.633
Authors: Yong Fuga Li; Kathleen J S Tsai; Colin J B Harvey; James Jian Li; Beatrice E Ary; Erin E Berlew; Brenna L Boehman; David M Findley; Alexandra G Friant; Christopher A Gardner; Michael P Gould; Jae H Ha; Brenna K Lilley; Emily L McKinstry; Saadia Nawal; Robert C Parry; Kristina W Rothchild; Samantha D Silbert; Michael D Tentilucci; Alana M Thurston; Rebecca B Wai; Yongjin Yoon; Raeka S Aiyar; Marnix H Medema; Maureen E Hillenmeyer; Louise K Charkoudian Journal: Fungal Genet Biol Date: 2016-01-22 Impact factor: 3.495
Authors: Christian J Jimenez; Jiacheng Tan; Kalli M Dowell; Gillian E Gadbois; Cameron A Read; Nicole Burgess; Jesus E Cervantes; Shannon Chan; Anmol Jandaur; Tara Karanik; Jaenic J Lee; Mikaela C Ley; Molly McGeehan; Ann McMonigal; Kira L Palazzo; Samantha A Parker; Andre Payman; Maritza Soria; Lauren Verheyden; Vivian T Vo; Jennifer Yin; Anna L Calkins; Amelia A Fuller; Grace Y Stokes Journal: Biopolymers Date: 2019-01-11 Impact factor: 2.505
Authors: Jennifer R Baker; Peter J Cossar; Mark A T Blaskovich; Alysha G Elliott; Johannes Zuegg; Matthew A Cooper; Peter J Lewis; Adam McCluskey Journal: Molecules Date: 2022-03-22 Impact factor: 4.411
Authors: Dana M Klug; Fahima I M Idiris; Mark A T Blaskovich; Frank von Delft; Christopher G Dowson; Claas Kirchhelle; Adam P Roberts; Andrew C Singer; Matthew H Todd Journal: Wellcome Open Res Date: 2021-06-11