infiniSee infiniSee
down

infiniSee

Explore the Chemical Space

fast blue

fast

Navigate through vast Chemical Spaces at unprecedented speed.
visual blue

visual

Understand similarity in a glimpse, with intuitive color-coding.
easy blue

easy

Self-explanatory interface. Simply drag your query and get started.

Explore the Chemical Space

Bigger Is Better!

infiniSee is your Chemical Space navigation platform to access the universe of synthetically accessible compounds.
Using the latest cutting-edge technology to mine relevant chemistry from compound collections exceeding the billions, infiniSee eminently expands the hunting grounds for early stages of small molecule drug discovery.
Each mode retrieves molecules based on the needs of the project for you to cherry-pick the best candidates.

Where regular approaches may consume minutes to hours to process enumerated lists with millions of entries, infiniSee delivers results within seconds, providing you with purchasable compounds and novel IP.

What's Inside?

Scaffold Hopper

Screen ultra-large Chemical Spaces for molecules related by fuzzy pharmacophore similarity to a structure of interest.

The underlying algorithm is FTrees.

Analog Hunter

Retrieve close analogs to your query compound based on Tanimoto fingerprint similarity.

The underlying algorithm is SpaceLight.

Motif Matcher

Mine for compounds containing a particular substructure of interest or those sharing the maximum common substructure (MCS) with your query compound.

The underlying algorithm is SpaceMACS.

Analyzer

Manage your results and understand your compound set. Cluster molecules based on their Bemis-Murcko scaffolds, visualize your data in histograms, and filter for the most promising candidates for follow up.

What's Inside?

Empowering Drug Discovery: Search Based on Your Needs

The various search methods in infiniSee supply you with compounds from the Chemical Space depending on the task of the drug discovery challenge.
The Scaffold Hopper provides you with molecules keeping the pharmacophore flavor of your query with high novelty and IP potential.
The Analog Hunter can help you to explore the proximal Chemical Space around a compound of interest to elucidate SARs and tangible molecule variants within a series with improved ADME properties.
The Motif Matcher offers two distinct approaches: In the first approach, it provides compounds that share a Maximum Common Substructure (MCS) with your query. The second approach utilizes a specific substructure of interest to identify molecules containing the exact substructure, thereby unlocking opportunities for fragment-based drug discovery (FBDD).

Ultimately, you can decide what is important to you and fine-tine your searches applying different parameters and constraints to extract the most relevant entries.

What infiniSee Does

discover infinisee

Discover unseen possibilities

Find molecules in unprecedented, large spaces of 1014 structures and more, or search your own in-house library for actives.
similarities infinisee

See hidden similarities

Similarity between a query and hit molecules is pleasingly visualized for you to select compounds effortlessly. infiniSee will show you why it considers something alike.
neighbors infinisee

Distant neighbors in action

Mine compound libraries for interesting scaffold hops. infiniSee finds molecules which are distant at first sight, yet very close in chemistry and pharmacophore-based action.
accessible infinisee

Unlimited accessibles

From virtual to vial within days! Only what is highly likely to be formed in the lab will be proposed during infiniSee’s Chemical Space navigation. Collaboration with our partners allows delivery of desired hits within few weeks.

What infiniSee Does

Assess Your Data: Compound Clustering

infiniSee's Analyzer Mode empowers you to manage your compounds and gain insights into your data.
Cluster your compounds based on Bemis-Murcko scaffolds and skeletons, then explore each group to select the most promising candidates for further investigation. Apply various additional filters or directly search for drug-, fragment-, or lead-like compounds.
This makes the selection of chemically diverse molecules easy, sophisticated, and convenient.

The neat visualization, such as parameter histograms, aids in delving into the data and exploring different sections of the distribution (e.g., MW, logP, number of H-bond donors/acceptors). Coupled with the ability to investigate the reagents and building blocks associated with the compound, as well as grouping compounds based on their vendors, you will have all the necessary tools to navigate your Chemical Space comprehensively.

Find Hidden Similarities

With infiniSee you can finally compare apples and oranges. The underlying concept of infiniSee is strikingly easy: Instead of searching already “assembled” molecules, we instead perform a combinatorial build-up of compounds from “fragments”. Sources of fragments can be either combinatorial libraries or any fragment-generating procedure. infiniSee opens the possibility to screen billions of compounds through its similarity search technology by navigating vast Chemical Spaces and searching for distant neighbors of a query molecule. Results will be delivered within typically less than a minute on a standard laptop. Optionally, you can define fuzzy pharmacophores to increase the diversity of scaffolds or request important molecular structures to be present in the hits.

Your Molecule Can Be Anywhere

The ingenious twist of infiniSee is the possibility of searching not only in colossal Chemical Spaces, but the ability to also comb through spaces of different origins. The number of identical structures in sets from different spaces was found to be extremely low (Lessel et al. 2019) due to the design and setup of the spaces, as well as the diversity of the employed building blocks. No matter how big your in-house library and no matter how many compounds you acquire to add to it, it will only be a tiny fraction of what your chemists are capable of synthesizing. Involving distinct Chemical Spaces increases your chances of finding accessible molecules you would have missed otherwise.

Create Your Own Chemical Space

Sometimes the perfect solution is within reach in your own compound library without realization. You can design your own Chemical Space with your accumulated, in-house knowledge and resources. Reactions and building blocks can be defined to create massive numbers of virtual compounds. Multiple big pharma companies built their own, in-house Chemical Spaces to search for scaffold alternatives to reduce costs and time.

Six Reasons for infiniSee

Speed

infiniSee stands second to none when it comes to speed. Navigate through Chemical Spaces of size 1014 molecules within minutes on standard hardware.

Accessible Results

Search in commercial databases, like GalaXi or REAL Space, and find purchasable compounds which are delivered to your table within a few weeks.

Size Matters

infiniSee is the only tool that navigates Chemical Spaces of almost infinite size. Increase the chances of finding your perfect molecule by expanding your hunting grounds.

Break Patents

Discover new scaffolds of approved drugs and patented molecules with only a few clicks. infiniSee provides you with distant yet related molecules.

Safe Use for Everbody

infiniSee works on almost every computer. It requires only modest hardware while searching these giant compound resources in complete safety behind your firewall. Its graphical interface is intuitive for novices and experts alike.

Fine-Tuned Results

Different search methods and algorithms can retrieve molecules based on the needs of the project. Find tailored solutions to progress with your research.

Six Reasons for infiniSee

Chemical Spaces: Ultra-Large Compound Clusters
Chemical Spaces

Chemical Spaces

While infiniSee and its algorithms represent the engine of Chemical Space exploration, individual Chemical Spaces represent its heartbeat.
The combinatorial nature of Chemical Spaces opens the possibility to screen compound collections containing more than billions of entries in a flash.
Partnerships with multiple compound manufacturers ensure a broad spectrum of chemistry and provide the flexibility to choose the optimal provider for ordering compounds.
Learn More
infiniSee opens the possibility to screen billions of compounds through its similarity search technology. Search in one of our partners’ Chemical Spaces to obtain commercially available compounds: Desired compounds of our partners can be purchased and delivered to your table within weeks.
BioSolveIT also offers the literature-based virtual KnowledgeSpace with high likelihood of synthetic accessibility for ideation purposes.

CoLibri: Create Your Own Chemical Space

Synthetic access is the key to success in practically all pharmaceutical research projects. What can be made – easily enough – decides what eventually will actually be made. CoLibri is a toolkit for Chemical Space exploration that transforms synthetic know-how into a Chemical Space, constituting huge numbers of virtual, yet synthetically accesible compounds.
Learn More
create your own custom chemical space with colibri

Create your own Chemical Space with CoLibri

Download

... Or Ask Us to Create One for You

Sometimes the perfect solution is within reach in your own compound library without realization. You can design your own Chemical Space with your accumulated, in-house knowledge and resources. Reactions and building blocks can be defined to create massive numbers of virtual compounds. Multiple big pharma companies built their own, in-house Chemical Spaces to search for scaffold alternatives to reduce costs and time.

With years of experience in getting the most out of your resources, BioSolveIT has created dozens of Chemical Spaces. The Spaces generated by our software are recognized as the largest compound sets among pharmaceutical companies.
Considering your in-house proprietary building blocks and chemistry knowledge, we tailor a unique Chemical Space that encompasses the full spectrum of synthesizable potentials as a source for ideation of accessible compounds.
Request service
Updates

infiniSee Version 6.2 — Echo

Time to find compounds that resonate with the needs of your project. Mine for almost endless compounds matching your query molecule with infiniSee 6 — Echo!

Version 6.2 comes with a huge performance booster to the Scaffold Hopper and Motif Matcher Modes. Furthermore, several quality-of-life improvements will boost your efficiency to evaluate and process your data, alongside the possibility to request a particular amount of additional heavy atoms when performing a Motif Matcher search.


For older versions and an elaborate changelog please visit here.

Help
Beginner's Guide (PDF) First Aid
infiniSee
Webinars

FAQ

  1. RAM: 16 GB would be good, anything beyond is better. We recommend 32GB and above.
  2. CPU: Our tools are not very hungry — yet they profit from multiple CPUs, because they have parallelized algorithms implemented. If in doubt rather choose more slower CPUs than one faster one.
  3. Graphics: It is important to know that a local graphics card is mandatory for infiniSee and SeeSAR. The associated command line "components" work without a local graphics card.

Update to the latest driver, and check — even if Windows tells you that you are up-to-date. Lenovo and other computers with onboard graphics, please navigate to this link to check if there is a newer driver available for you.
An elaborated list of the respective operating system (OS) requirements can be found here.
Let’s compare Chemical Spaces to sauerkraut. The concept of fermented cabbage exists in many world cuisines; kimchi in Korea, kapusta kiszona in Poland, curtido in El Salvador. Although they follow similar preparational steps, the taste varies greatly due to the local ingredients used. Chemical Spaces behave alike: The knowledge and building blocks used to build up the Chemical Space differ between companies and methods involved. The overlaps between two Chemical Spaces can be surprisingly miniscule (Lessel et al. 2019 and Rarey et al. 2021).
By searching in several Chemical Spaces you will maximize your success rate to find a diverse, promising molecules.
infiniSee is an easy-to-use app that searches superbig, combinatorial on-demand Chemical Spaces such as Enamine's REAL Space within seconds. We think this is unique.
And it comes with two core comparison algorithms. That by itself is a nice thing:
One is tuned to hop away in the molecular structure, yet stay "similar" to your query molecule. This is the Scaffold Hopper Mode: Its results obtained from a chemist's point of view are that the molecules are 'aligned' without using any 3D coordinates. This means the chemist can understand why the molecules are awarded a certain similarity. Also, the fuzziness of the descriptor makes it ideal for finding scaffold hops.
The other Mode is the Analog Hunter Mode, introduced in May 2023: This lets you investigate the close analogs "around" a query molecule. It uses the well-known ECFP4 similarity descriptor — but applied to the superbig on demand Chemical Spaces.
After performing a search with infiniSee your results will be presented in a table. The column "Source" tells you the origin of the Chemical Space that contains your solution; the ID of the respective result molecule is shown in the "Name" column.
Compounds can be ordered by sending a quote request to the compound vendor with the following information:
Requested structures in SMILES or SD format, Compound ID (concatenated), and amount requested.

For compounds from Ambinter's AMBrosia Space, send your request to ambrosia@greenpharma.com.
For compounds from eMolecule's eXplore Space, send your request to explore@emolecules.com.
For compounds from Enamine's REAL Space, send your request to libraries@enamine.net.
For compounds from WuXi's GalaXi Space please send your request to contact@labnetwork.com
For compounds from OTAVA's CHEMriya Space please send your request to info@otava.ca.
For compounds from Chemspace's Freedom Space please send your request to sales@chem-space.com.
Any usage with a graphical user interface requires a local graphics card, i.e., a local computer. This can therefore not work from remote.
Commandline and KNIME runs however can be triggered from remote.
Please contact us if you need to work from home during the Corona pandemic.
infiniSee can calculate and predict following parameters of a molecule that can be further used for filtering steps and compound assessment: Molecular weight, logP, total polar surface area (TPSA) of a compound, H-bonds, H-bond acceptors and donators, heavy atoms, aromatic rings, maximum ring size, total charge, and more. You can also calculate and filter for following numbers: odd torsions, heavy atoms, (aromatic) rings, aromatic atoms, nitrogen and oxygen atoms, halogens, stereo centers, stereo bonds, and rotatable bonds. With this you can easily tailor your filters for particular compound features and
Furthermore, infiniSee supports the Optribrium expansion to predict a variety of important ADME parameters for further compound assessment:
ADME parameter
2C9 pKi Cytochrome P450 CYP2C9 pKi prediction. Affinity prediction of the compound to bind at the enzyme involved in several metabolic drug pathways.
2D6 affinity category Cytochrome P450 CYP2D6 classification. Compounds are predicted to be in one of four categories: ‘low’ for compounds with a pKi<5, ‘medium for compounds with a pKi between 5 and 6, ‘high for compounds with a pKi between 6 and 7, and ‘very high’ for compounds with a pKi>7.
BBB category Classification of compounds into ‘+’-category if log([brain]:[blood])≥-0.5 and ‘-’category if log([brain]:[blood])<-0.5.
BBB log([brain]:[blood]) Logarithm of brain-blood partition coefficient of a compound. Can be used as indicator for CNS active compounds.
HIA category Human intestinal absorption classification. Compound which are predicted to be absorbed ≥30% are classified with ‘+’, compounds which are predicted to be absorbed <30% are classified with ‘-’.
P-gp category P-glycoprotein 1 (also known as multidrug resistance protein 1 (MDR1) and ATP-binding cassette sub-family B member 1 (ABCB1)) transport classification. Predicts if a compound is a substrate of P-gp.
PPB90 category Plasma protein binding classification. Predicts a classification of ‘low’ for compounds which are <90% bound and high for compounds which are >90% bound.
hERG pIC50 Prediction of pIC50 values for inhibition of human Ether-a-go-go Related Gene (hERG) potassium channels expressed in mammalian cells.
logD Logarithm of n-octanol-water partition coefficient (also known as n-octanol-water partition ratio) at fixed physiological pH 7.4. Used to describe the relationship between lipophilicity and hydrophilicity of an ionized compound.
logP Logarithm of n-octanol-water partition coefficient. Used to describe the relationship between lipophilicity and hydrophilicity of a neutral compound.
logS Logarithm of intrinsic aqueous solubility in µM for neutral compounds.
logS @ pH 7.4 Logarithm of intrinsic aqueous solubility at physiological pH 7.4 in µM for ionized compounds.

Couldn’t find what you are looking for?
Visit our elaborative FAQ section or the first aid section

FAQ First Aid
Science

SpaceMACS

SpaceMACS is a substructure search tool for combinatorial Chemical Spaces. It mines the ultra-large compound collections for molecules containing a molecular motif of interest. Setting itself apart from typical exact substructure search methods, SpaceMACS possesses the capability to uncover closely-related molecules with minor deviations when an exact match is not found. SpaceMACS was developed in collaboration with the University of Hamburg (ZBH). Find out more about SpaceMACS here (PDF).

SpaceLight

SpaceLight is a Chemical Space exploration tool which screens vast combinatorial compound spaces for close analogs of a query compound based on fingerprint similarity. In infiniSee's Analog Hunter, the well-known extended-connectivity fingerprint (ECFP, and ECFP4 in particular) is applied to screen for the most similar molecules. The commandline version of SpaceLight provides additional settings such as the definition of other fingerprint diameters, as well the possibility to use connected subgraph fingerprints (CSFPs) for a search.
SpaceLight was developed in collaboration with the University of Hamburg (ZBH). Find out more about SpaceLight here (PDF).

FTrees

FTrees is a highly efficient software tool for fuzzy similarity searching. It uses the Feature Trees descriptor and is perfect to spot those non-obvious similarities in virtual screening. The Feature Tree descriptor captures a molecule’s overall topology and its pharmacophore properties. The similarity of two such descriptors is based on an alignment (shown above by the color-coding of related functional groups).

Find out more about FTrees here (PDF).

Optibrium - ADME Properties Prediction

Physicochemical properties are an important factor to consider to decide if a compound is promising drug candidate. Early assessment of ADME parameters can predict toxicity issues and absorption challenges in the early stages of drug discovery saving time and ressources. While infiniSee can calculate a variety of interesting filter parameters (e.g. rotable bonds, molecular weight, TPSA), it also supports ADME parameter predictions by the optional StarDrop module by Optibrium. With this users have the possibility to calculate important parameters like CYP enzyme affinity, blood brain barrier to blood distribution, logS, and many more.

Find out more about Optibrium ADME properties here (PDF).

Recent Success Stories

Mining of drug-like from ultra-large Chemical Spaces leads to the discovery of three scaffolds as colchicine binding site inhibitors (CBSIs) with nanomolar activity.
Design, Synthesis, and Biological Evaluation of Heterocyclic-Fused Pyrimidine Chemotypes Guided by X-ray Crystal Structure with Potential Antitumor and Anti-multidrug Resistance Efficacy Targeting the Colchicine Binding Site.
Tan, L.; Wu, C.; Zhang, J.; Yu, Q.; Wang, X.; Zhang, L.; Ge, M.; Wang, Z.; Ouyang, L.; Wang, Y.
Journal of Medicinal Chemistry 2023, .
Structure-based discovery of nanomolar inhibitors of ROCK1 kinase through Chemical Space Docking.
Chemical space docking enables large-scale structure-based virtual screening to discover ROCK1 kinase inhibitors.
Beroza, P.; Crawford, J.J.; Ganichkin, O.; Gendelev, L.; Harris, S.F.; Klein, R.; Miu, A.; Steinbacher, S.; Klingler, F.; Lemmen, C.
Nature Communications 2022, 13 (1).
Fragment-based discovery of novel inhibitor chemotypes from virtual screening of a 2.7 billion-sized version of the REAL Space.
Magnet for the Needle in Haystack: “Crystal Structure First” Fragment Hits Unlock Active Chemical Matter Using Targeted Exploration of Vast Chemical Spaces.
Müller, J.; Klein, R.; Tarkhanova, O.; Gryniukova, A.; Borysko, P.; Merkl, S.; Ruf, M.; Neumann, A.; Gastreich, M.; Moroz, Y.S.; Klebe, G.; Glinca, S.
Journal of Medicinal Chemistry 2022.
This study highlights the potential of precise substructural search with SpaceMACS in vast Chemical Spaces. It features a case study with torasemide as query molecule and search results from indivual tools with different purposes as well as a discussion about overlaps of those.
Maximum Common Substructure Searching in Combinatorial Make-on-Demand Compound Spaces.
Schmidt, R.; Klein, R.; Rarey, M.
J. Chem. Inf. Model. 2021.
Following the NIH virtual workshop on ultralarge chemistry databases, Wendy Warr summarizes talks from about 30 practitioners in the field of ultralarge collections of molecules. Most of the proprietary were created and searched with BioSolveIT tools.
Report on an NIH Workshop on Ultralarge Chemistry Databases.
Warr, W.
ChemRxiv. 2021.
Stefan et al. discovered four novel ABC transporter inhibitors from the ZINC12 database (16,403,865 molecules) by combining FTrees with a computer-aided pattern analysis (C@PA).
Scaffold Fragmentation and Substructure Hopping Reveal Potential, Robustness, and Limits of Computer-Aided Pattern Analysis (C@PA).
Namasivayam, V.; Silbermann, K.; Pahnke, J.; Wiese, M.; Stefan, S.M.
Comput. Struct. Biotechnol. J. 2021.
With captopril as query molecule, Faghri et al. screened the NPASS database (35,032 natural compounds) with infiniSee which finally helped to identify a potential NDM-1 inhibitor.
Discovery of Potential Inhibitors against New Delhi Metallo-β-Lactamase-1 from Natural Compounds: In Silico-Based Methods.
Salari-jazi, A.; Mahnam, K.; Sadeghi, P.; Damavandi, M. S.; Faghri, J.
Sci. Rep. 2021, 11 (1), 1–20.

Get infiniSee and start your journey into vast Chemical Spaces!

Download

How to cite

In publications please cite infiniSee with the respective version number as follows:
infiniSee version 6.2.0; BioSolveIT GmbH, Sankt Augustin, Germany, 2024, www.biosolveit.de/infiniSee