Intelligent Pharma- Chemical and Oil & Gas Division Page 1 of 7. Global Business Centre Ave SE, Calgary, AB T2G 0K6, AB.

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1 Intelligent Pharma- Chemical and Oil & Gas Divisin Page 1 f 7 Intelligent Pharma Chemical and Oil & Gas Divisin Glbal Business Centre Ave SE, Calgary, AB T2G 0K6, AB. Canada Dr. Edelsys Cdrniu-Business Develpment Representative ecdrniu@intelligentpharma.cm (403) (403) (ffice) LinkedIn OUR SERVICES Nte: The services described belw are just examples f prjects that culd be perfrmed with ur technlgies. Fr mre infrmatin, r t bk yur intrductry meeting cntact Dr. Edelsys Cdrniu (see cntact infrmatin abve). 1. Material design and estimatin f prperties Objective: T design chemical structure and estimate prperties and behavir f materials befre they have been synthesized Example f a metal-rganic framewrk (MOF) with specific designed prperties (Image frm V. Guillerm et al., Chem. Sc. Rev. 2014, 43, 6141). Prject: Yur cmpany is designing a material with specific target prperties. Use ur cmbinatin f virtual screeners and mlecular dynamics simulatins t find the best building blck candidates and test them befre synthesizing. Cmpetitive advantage: Our experts in Quantum Mlecular Dynamics, Metadynamics, Quantum Chemistry and Relativistic Quantum Chemistry make ur team unique t deliver cmplete results.

2 Intelligent Pharma- Chemical and Oil & Gas Divisin Page 2 f 7 Our cutting-edge technlgies will allw us t btain results in recrd time 2. Design f synthesizable cmpunds/ materials with better physicchemical prperties Objective: T identify if analgus f yur cmpunds are easily synthesizable r scalable r have better physicchemical prperties User s interface f MOBIUS. Prject: Yur chemical cmpund wrks in a lab envirnment but it is difficult t scale t industrial standards, it is difficult t synthesize r it is insluble. With ur 2-D r 3-D virtual screeners and MOBIUS, ur Drug Candidate Design Envirnment using Evlutinary Cmputatin, we can identify analgus f yur cmpunds with similar activity/prperties that can be mre synthesizable r scalable, r have imprved physicchemical prperties. Cmpetitive advantage: Our experience using ur wn technlgies PEGASUS, HERCULES and MOBIUS fr this applicatins Use f machine learning apprach t quickly generate and evaluate a brad chemical space Predictin fllwed by synthesizability assessment by f ur partners in synthetic chemistry t ensure reliability f results 3. Predictin f chemical prperties f new cmpunds frm experimental data Objective: T treat experimental data and create mathematical mdels that crrelates structural features and prperties/activity that will allw yu t select cmpunds with desired prperties

3 Intelligent Pharma- Chemical and Oil & Gas Divisin Page 3 f 7 MEDEA Instead f synthesizing and testing all pssible cmbinatins experimentally Prject: If yur team is wrking n discvering a new chemical with a specific applicatin, instead f testing all pssible cmbinatins experimentally, use ur QSAR technlgy, MEDEA, and fcus n the mst prmising candidates. QSAR mdels relate prperties f interest with mlecular structure. Any kind f physic-chemical data can be used t create QSAR mdels and predict prperties f new cmpunds. Cmpetitive advantage: Our technlgy MEDEA prvides a methd fr fcusing n the mst prmising candidates New structures can be designed cmputatinally Fast and easy screening----saving time and resurces Make yur team mre prductive 4. Identificatin f new cmpunds with specific desired prperties that can be ptentially prtected/patented Objective: T identify nn-structural analgues f yur active cmpunds t ptentially include them in new patents

4 Intelligent Pharma- Chemical and Oil & Gas Divisin Page 4 f 7 High Similarity Index Yur Active Cmpund that we will use as ur reference Mlecule frm the database with similar MF New mlecule t test experimentally Ptential new active cmpund t patent!!! Cmparisn f ligands based n superpsitin f mlecular interactin fields. Prject: If yur cmpany has identified an active cmpund, we can use ur technlgies t identify cmpunds with the same mlecular field but different structures, which will have a high prbability t be active. With this, yur cmpany will be able t prtect an even wider chemical space, therefre aviding cmpetitin. Cmpetitive advantage: Our experience using ur wn technlgy Hercules fr this applicatins 5. Predictin f reactin mechanisms / Mechanism f actin Objective: T explre chemical reactins, elucidate the reactin mechanisms f rganic and inrganic reactins in any chemical envirnment r interphase. Example f a mdified MOF structure t achieve the expected reactin mechanism and prductin f hydrgen (Image frm T. Tya et al., Catal. Sci. Technl., 2013, 3, ).

5 Intelligent Pharma- Chemical and Oil & Gas Divisin Page 5 f 7 Prject: Mdelling rganic and inrganic reactins in different envirnments is ne f the mst cmmn gals f cmputatinal chemistry. Prviding insights int the reactin pathway yur chemical is fllwing will allw yu t take smarter decisins n yur research and discvery prjects. We use cutting-edge technlgies t prvide thermdynamic and kinetics details f yur reactin such us: relative energies and free energies fr reactants, prducts, transitin states and intermediates, frequency factrs and reactin rate cnstants. Al pssible side prducts are als elucidated. Cmpetitive advantage: Our experts in Quantum Mlecular Dynamics, Metadynamics, Quantum Chemistry and Relativistic Quantum Chemistry make ur team unique t deliver cmplete results. Vides cntaining the dynamics f yur reactins and the electrnic features will help yu understand yur system better Take smarter decisins and shw yur clients hw yur chemicals wrk, cnvincing them faster t buy frm yu. 6. Material Reprfiling/ Identificatin f back-ups Objective: T find new applicatins fr yur material Prject: Yur cmpany has been wrking with a material fr a specific targeted applicatin, fr which a new ne has been fund with better results. Instead f discarding the ld material we can help yu identify new applicatins which can be als patented. Ranking f New Mlecules/New applicatins Cmpetitive advantage: We have participated in successful reprfiling prjects. The infrmatin f material targets and mlecule binders is used. Indicatins are predicted n basis f experimental data 7. Selectivity studies Objective: T determine and imprve the selectivity f yur material

6 Intelligent Pharma- Chemical and Oil & Gas Divisin Page 6 f 7 Prject: Is yur material mre prne t being nn-selective? With a cmbinatin f ur technlgies we can: Example f a design f a prus plymer fr the selective srptin f xygen and nitric xide (Image frm S. Shimmura et al., Nature Chem. 2010, 8, ). Favr specific regins f yur material which are knwn t enhance desired selectivity Determine the mst selective and active cmpunds Cnstruct mdels taking int accunt (+) and (-) cntributins f physicchemical prperties in 3D space Cmpetitive advantage: Experimental and structural infrmatin can be used. Different technlgies and prtcls allw us t use the best apprach in respect t yur prject circumstances. Large databases can be screened by the mdels in a shrt time. 8. Predictin f envirnmental txicity Objective: T rapidly assess a substance s envirnmental fate, txicity and bidegradatin Prject: With ur technlgies we can assess the envirnmental txicity f yur chemical. If yur chemical results txic then we use the virtual screeners t prvide a list f new candidates with similar r better activity and repeat the prcess until we find an analgus cmpund that can be envirnmentally friendly.

7 Intelligent Pharma- Chemical and Oil & Gas Divisin Page 7 f 7 Figure 4. Example f an applicatin f QSAR fr envirnmental txicity predictin (Image frm V. Alves et al. Green Chem., 2016, 18, ). Cmpetitive advantage: New mdels t predict different prperties can be prepared Mdels can be ptimized fr yur mlecule type Only a small number f mlecules amngst a huge set has t be synthesized and experimental tested Cntact us tday t bk yur intrductry meeting! Dr. Edelsys Cdrniu-Business Develpment Representative ecdrniu@intelligentpharma.cm (403) (403) (ffice) LinkedIn