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Статті в журналах з теми "Insilico"

Автор: Grafiati

Опубліковано: 3 червня 2025

Оновлено: 31 липня 2025

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1

Rick Mullin. "Exelixis gets Insilico compound." C&EN Global Enterprise 101, no. 31 (2023): 13. http://dx.doi.org/10.1021/cen-10131-buscon15.

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2

Kartika, Aprilia Indra. "Optimization of DCR1 and DCR2 epigenetic annealing temperatures for breast cancer biomarker using in-silico and in-vitro study." Jurnal Teknologi Laboratorium 11, no. 1 (2022): 25–32. http://dx.doi.org/10.29238/teknolabjournal.v11i1.327.

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The epigenetics of methylated and unmethylated DCR1 and DCR2 (decoy receptors 1 and 2) are genes encoding membrane receptors that can bind to TRAIL causing TRAIL inhibition in the apoptotic pathway. Epigenetic detection of DCR1 and DCR2 was developed as a biomarker of breast cancer. One of the detection methods is using PCR. The most important step in the PCR process is the determination of the annealing temperature. This research performs Tm analysis using the insilico program from Neb, insilico, Thermofisher, and Promega and in vitro optimization. Methylated DCR1 can be amplified at annealin

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3

Christopher Busayo Olowosoke, Adebola Abosede Alaba, and Benjamin Babatunde Adegboyega. "Citrullus lanatus natural product library: A hoard of viable potential inhibitor candidates for diabetes mellitus type II therapeutic target enzymes." World Journal of Advanced Research and Reviews 15, no. 1 (2022): 534–60. http://dx.doi.org/10.30574/wjarr.2022.15.1.0713.

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The ethnomedicinal function of several cucurbit species (cucumber, squash, melon, gourd, etc.) on diseases (i.e. diabetes, microbial infections, cancer, etc.), and as free radical scavengers have been reported. However, there remains infinitesimal record on citron watermelon broad use, which reflects the reason for wide oversight of underutilization, from lack of recognition for functional food crop development and commercialization. The objective of this study focus towards identifying the natural phytochemicals of C. lanatus on water melon molecules online database for insilico computational

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4

Christopher, Busayo Olowosoke, Abosede Alaba Adebola, and Babatunde Adegboyega Benjamin. "Citrullus lanatus natural product library: A hoard of viable potential inhibitor candidates for diabetes mellitus type II therapeutic target enzymes." World Journal of Advanced Research and Reviews 15, no. 1 (2022): 534–60. https://doi.org/10.5281/zenodo.7745429.

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The ethnomedicinal function of several cucurbit species (cucumber, squash, melon, gourd, etc.) on diseases (i.e. diabetes, microbial infections, cancer, etc.), and as free radical scavengers have been reported. However, there remains infinitesimal record on citron watermelon broad use, which reflects the reason for wide oversight of underutilization, from lack of recognition for functional food crop development and commercialization. The objective of this study focus towards identifying the natural phytochemicals of <em>C. lanatus</em> on water melon molecules online database for ins

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5

Shambharkar, Saroj, K. Vaishali, Rachna Somkunwar, Yogeshri Choudhari, and Jyotsna Gawai. "Biological Network, Gene Regulatory Network Inference Using Causal Inference Approach." Revue d'Intelligence Artificielle 36, no. 1 (2022): 139–45. http://dx.doi.org/10.18280/ria.360116.

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In system biology inference from gene regulatory network (GRN) is a challenging task. There exist different computational techniques to analyze the causal relationships between the pair of genes and to understand the significance of causal relationship in gene regulatory network. The DREAM4 insilico network structure and insilico gene expression time series dataset of DREAM challenge dataset is examined. This gene expression dataset of insilico of size 10 is analyzed for inferring causal relationships of the GRN inference. The analysis of dataset showing the gene expression data values are var

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6

Bloom, Mark. "Biology insilico: The Bioinformatics Revolution." American Biology Teacher 63, no. 6 (2001): 400–407. http://dx.doi.org/10.1662/0002-7685(2001)063[0397:bistbr]2.0.co;2.

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7

Selvaraj, Jubie, Shyam Sundar P, Logesh Rajan, et al. "Identification of (2R,3R)-2-(3,4-dihydroxyphenyl)chroman-3-yl-3,4,5-trihydroxy benzoate as multiple inhibitors of SARS-CoV-2 targets; a systematic molecular modelling approach." RSC Advances 11, no. 22 (2021): 13051–60. http://dx.doi.org/10.1039/d1ra01603b.

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8

Krishna, P. Navya, and Y. Mukesh Mohite. "Insilico Activity Prediction of Thiazolidinediones Derivatives." Asian Journal of Pharmaceutical Analysis 8, no. 1 (2018): 39. http://dx.doi.org/10.5958/2231-5675.2018.00007.8.

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9

Tripathy, Mr Chandra Sekhar, Dr Anil Kumar, Dr Santosh Kumar Behera, et al. "DengueVrsEllagic Acid & Ferric Carboxymaltose: InSilico." Saudi Journal of Biomedical Research 7, no. 7 (2022): 211–18. http://dx.doi.org/10.36348/sjbr.2022.v07i07.001.

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Backgrounds: Dengue viruses are transmitted to humans via mosquito bites from infected Aedes species (Aedesaegypti or Aedesalbopictus). Dengue fever affects over half of the world's population, or about 4 billion people. Dengue fever is a common cause of sickness in high-risk settings. Methods: In the current study two serotypes of Dengue viruses namely DENV1 and DENV2 taken for the study. Here two important compounds namely Ellagic acid and Ferric Carboxymaltose chosen for the targets to be inhibited. In silico docking approach performed to dock the two compounds against the DENV1 and DENV2 v

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10

R.A., Ranganadha. "Insilico studies of tau-protein kinase." Advances in Modelling and Analysis B 61, no. 4 (2018): 211–14. http://dx.doi.org/10.18280/ama_b.610406.

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11

G, VALLI, LALITHISWARI T, JOTHIMALAR S, and RAJESWARI N. "INSILICO DRUG ACTIVITY OF N-OXIDES." International Journal of Bioinformatics Research 3, no. 1 (2011): 118–34. http://dx.doi.org/10.9735/0975-3087.3.1.118-134.

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12

Rick Mullin. "AI firm Insilico raises $255 million." C&EN Global Enterprise 99, no. 24 (2021): 15. http://dx.doi.org/10.1021/cen-09924-buscon4.

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13

Rick Mullin. "AI specialist Insilico hails drug candidate." C&EN Global Enterprise 99, no. 29 (2021): 17. http://dx.doi.org/10.1021/cen-09929-buscon14.

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14

Ravi, Kumar K. 1. *. Archana Giri 1. Rama Rao Nadendla 2. "INSILICO ADME PROFILING OF CDK9 INHIBITORS." Journal of Scientific Research in Pharmacy 7, no. 3 (2018): 30–34. https://doi.org/10.5281/zenodo.1207094.

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<strong><em>ABSTRACT</em></strong> <strong><em>S</em></strong><em>everal drug targets have been identified in fighting against cancer. Inhibition of Cell cycle is one of the strategies used in anti-cancer research.   CDKs [Cyclin Dependent Kinases] were found to be one of the promising drug targets. This work aims to find a potential molecule to inhibit CDKs that are involved in cell cycle progression. CDK 9 was chosen as potential drug target for cancer.  Virtual screening was carried out against CDK 9 protein using Molecular Docking tools with molecules from ZINC database. Mol

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15

K, Nirubama, Narendhirakannan R.T, Rubalakshmi G, Vijayakumar N, and Vinodhini M. "Homology modeling and insilico approach of cleome gynandra - an indigenous medicinal plant." Kongunadu Research Journal 7, no. 2 (2020): 1–6. http://dx.doi.org/10.26524/krj.2020.14.

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Cleome gynandra is a widespread medicinal plant belonging to the family Capparaceae. In Ayurvedic medicine C. gynandra is a main component in Narayana Churna. It has numerous properties like Anthelmintic, in ear diseases, pruritis and several other diseases like gastro intestinal disorders and gastrointestinal infections etc. This is an effort to gather and document evidence on different features of C. gynnadra and highlight the need for survey and development. In this current study, nine proteins of C. gynandra were identify by using of bioinformatics tools. The bioinformatic study of the cha

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16

Narasimhan, Rangarajan, and Ambilly Mohan. "Insilico Analysis of Sesamum indicum Seed Proteins." Asian Journal of Pharmacy and Technology 7, no. 1 (2017): 37. http://dx.doi.org/10.5958/2231-5713.2017.00007.1.

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17

Galande, Avanti K., and Sachin H. Rohane. "Insilico Molecular docking analysis in Maestro Software." Asian Journal Of Research in Chemistry 14, no. 1 (2021): 1–4. http://dx.doi.org/10.5958/0974-4150.2021.00017.1.

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18

Shashanka, A., A. Uma, and B. Suresh Babu. "Insilico Epitope Mapping of SARS-CoV-2." Journal of scientific research 64, no. 03 (2020): 54–59. http://dx.doi.org/10.37398/jsr.2020.640311.

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19

Kumar Suryawanshi, Sunil, Usha Chouhan, and Jyoti Kant Choudhari. "Insilico Anticancer Peptide Prediction from Curcuma longa." Molecular & Cellular Biomechanics 19, no. 4 (2022): 191–208. http://dx.doi.org/10.32604/mcb.2022.023911.

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20

Philippidis, Alex. "StockWatch: Insilico CEO Breaks Down Exelixis Deal." GEN Edge 5, no. 1 (2023): 644–51. http://dx.doi.org/10.1089/genedge.5.1.125.

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21

Anamika Singh, Anamika Singh, and C. V. S. Siva Prasad. "Insilico Comparative Analysis of Functional Residues in Aminopeptidase-N." International Journal of Scientific Research 2, no. 12 (2012): 38–41. http://dx.doi.org/10.15373/22778179/dec2013/13.

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22

Amit, Chattree* and Neelottma Singh. "In-Silico Designing of 5-(3 Chloro-1-Benzothien-2yl)-4-Phenyl-4H-1,2,4 Triazole-3-Thiol derivatives and their Potential application on Fusarium Solani." Journal of Pharma Research 1, no. 2 (2012): 7–10. https://doi.org/10.5281/zenodo.1098653.

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<strong><em>ABSTRACT</em></strong> <em>In silico methods can help in identifying drug targets via bioinformatics tools. The use of computers and computational methods permeates all aspects of drug discovery and forms the core of structure-based drug design. High-performance computing, data management software and internet are facilitating the access of huge amount of data generated and transforming the massive complex biological data into workable knowledge in modern day drug discovery process. In the present work insilico designing of 5-(3 Chloro-1-benzothien-2yl)-4-phenyl-4H-1,2,4 triazole-3

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23

Br Siagian, Dos D. L. E., Billy J. Kepel, Aaltje Manampiring, Widdhi Bodhi, Fatimawali Fatimawali, and Fona D. H. Budiarso. "Analisis Antioksidan Senyawa Bioaktif Ekstrak Lidah Buaya Secara Insilico." Jurnal e-Biomedik 10, no. 2 (2023): 129–35. http://dx.doi.org/10.35790/ebm.v10i2.46334.

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Abstract: Aloe vera (Aloe vera L.) is a functional plant that is often found and has a wide range of health advantages. Antioxidants are chemical molecules that inhibit free radicals in the body, which can cause disease by generating oxidation events that destroy cell structure and function. The goal of this research is to see how bioactive chemicals from the aloe vera plant (Aloe vera L.) interact with antioxidant activity. The molecular docking method is combined with insilico analysis in this study, which employs four key applications: autodock tools, autodock vina, biovia discovery studio,

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24

Simorangkir, Murniaty, Saronom Silaban, and Destria Roza. "Anticholesterol activity of ethanol extract of Ranti Hitam (Solanum blumei Nees ex Blume) Leaves: In vivo and In silico study." Pharmacia 69, no. 2 (2022): 485–92. http://dx.doi.org/10.3897/pharmacia.69.e84913.

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Ranti Hitam known as local name of (Solanum blumei Nees ex Blume) found in the Dairi, Sumatera Utara, Indonesia. It is used by the community as traditional medicine which contains of various phytochemical constituent of steroidal alkaloids of β2-solanin, diosgenin, flavonoids, saponins and tannins. The purpose of the study was to investigate the anticholesterol activity of the ethanol extract of (Solanum blumei Nees ex Blume) by in vivo and insilico methods. A number of 15 rats were divided into 5 treatment groups as in vivo high fat diet model, otherwise insilico study was carried out to dete

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25

PM, Ancy, and M. Sumithra M. "Neuroprotective Activity of Flavonoids from Peperomia pellucida by Invitro and Insilico Studies." INTERNATIONAL JOURNAL OF DRUG DELIVERY TECHNOLOGY 14, no. 04 (2024): 1110–15. https://doi.org/10.25258/ijddt.14.4.50.

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Introduction: One of the neurodegenerative disorders that causes irreversible mild cognitive impairment is Alzheimer's disease(AD). As AD becomes more prevalent, the need for the development of innovative technologies and medications to prevent and treat neurodegeneration becomes increasingly critical. The plant Peperomia pellucida possesses neuroprotective properties. Material & Methods: Invitro Acetylcholinesterase Inhibitory Activity performed in Peperomia pellucida extract and insilico evaluations conducted using online tools such as Autodock, PASS, Swiss ADME, and ProTox-II. Result: P

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26

Sangeetha, K. G., and K. K. Aravindakshan. "COORDINATION BEHAVIOUR AND COMPUTATIONAL STUDIES OF 3-FORMYL CHROMONE N(4)-METHYL-N(4)- PHENYLTHIOSEMICARBAZONE AND ITS TRANSITION METAL COMPLEXES." RASAYAN Journal of Chemistry 16, no. 03 (2023): 1435–43. http://dx.doi.org/10.31788/rjc.2023.1638352.

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This article reports on the 3-formylchromone N(4)-substituted thiosemicarbazone’s coordination behavior towards transition metal ions. CHNS analysis, magnetic moment, thermal analysis, IR, UV, NMR, and EPR spectroscopy were used to characterize the compounds. Moreover, DFT, insilico ADME, and docking studies of the ligand were done. Based on the spectral results, copper, cobalt, and nickel complexes had square planar geometry. Conversely, the manganese complex has octahedral geometry. The Gaussian 09 program is utilized for DFT studies. The GLIDE program was used for docking calculations. As r

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27

Kai, Qi. "Artificial Intelligence Applications in Healthcare Diagnosis and Treatment in the Era of Big Data." Pacific International Journal 8, no. 2 (2025): 60–66. https://doi.org/10.55014/pij.v8i2.791.

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The integration of artificial intelligence (AI) into healthcare is transforming medical practices, particularly in diagnosis, treatment, and drug discovery. This study explores the applications of AI in healthcare through the case studies of Tempus Labs, PathAI, and Insilico Medicine, focusing on their use of big data and machine learning algorithms to enhance precision medicine, optimize drug development, and improve patient outcomes. Tempus Labs leverages AI for personalized cancer treatment by analyzing genomic and clinical data, while PathAI applies deep learning algorithms for accurate me

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28

., Nnoruka, and Udoka Chukwudubem. "DRUG REPURPOSING FOR SNAKE BITE: AN INSILICO INVESTIGATION." International Journal of Engineering Applied Sciences and Technology 04, no. 07 (2019): 42–48. http://dx.doi.org/10.33564/ijeast.2019.v04i07.007.

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29

Naveed, Khalida. "Insilico Strategy of Epitope Design in Clostridium botulinum." International Journal of Pure & Applied Bioscience 4, no. 6 (2016): 47–58. http://dx.doi.org/10.18782/2320-7051.2414.

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30

Mullaicharam, AR, Nirmala Halligudi, and HudaSaif Al-bahri. "Molecular modifications of ibuprofen using Insilico modeling system." International journal of Nutrition, Pharmacology, Neurological Diseases 2, no. 2 (2012): 156. http://dx.doi.org/10.4103/2231-0738.95991.

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31

Ghosh, Shyamasree. "Insilico Studies on Antimicrobial Peptides (AMPs) from Earthworm." International Journal of Peptide Research and Therapeutics 26, no. 4 (2019): 1721–38. http://dx.doi.org/10.1007/s10989-019-09970-9.

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32

Ghosh, Shyamasree. "Insilico Study of Earthworm CCF1 Peptides in Earthworm." International Journal of Peptide Research and Therapeutics 26, no. 4 (2020): 2213–24. http://dx.doi.org/10.1007/s10989-020-10014-w.

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33

Ghosh, Shyamasree. "Insilico Studies on Antimicrobial Peptide (AMP) in Leeches." International Journal of Peptide Research and Therapeutics 26, no. 4 (2020): 2253–67. http://dx.doi.org/10.1007/s10989-020-10017-7.

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34

Sangeetha, M., M. Menakha, and S. Vijayakumar. "Insilico prediction of anticancer cyanobacterial drug from Nostoc." Biomedicine & Preventive Nutrition 4, no. 1 (2014): 71–73. http://dx.doi.org/10.1016/j.bionut.2013.08.008.

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35

Nurul, Nurul Afriani Arif, Irwandi Rahmat, and Abdul Wahid. "STUDI INSILICO MYRISTICIN DARI MYRISTICA FRAGRANS SEBAGAI ANTIBAKTERI." Jurnal Suara Kesehatan 9, no. 2 (2023): 13–18. http://dx.doi.org/10.56836/journaliskb.v9i2.79.

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Abstract. Antibiotics are a way to overcome the problem of disease in fighting infections caused by bacteria and are needed by humans in relation to the world of health. However, in the past year, many antibiotics spread have fewer effective results on human health. The objective of this research is to find the bioactivity of potential compounds from the Myristica fragrans plant which is thought to be able to be used as an antibacterial. Reverse docking study was performed using PyMOL software v1.7.4.5 (Schrodinger), PyRx 0.8 software, and SwissAdme Prediction. The results of this research ind

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36

V, Vetriselvi, and Bharathajothi P. "Insilico evaluation of pharmacological activities of Kalarchi Chooranam." International Journal of Ayurvedic Medicine 13, no. 4 (2023): 991–96. http://dx.doi.org/10.47552/ijam.v13i4.3119.

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The Indian traditional medicine practices such as siddha and ayurveda records various medicinal plants for the betterment of human health. Recent reports shows that this system of medicine has potential plants and formulation to treat various diseases and ailments. In the present study, we extracted and prepared the Kalarchi Chooranam of various ratios and chosen 4:1 ratio from our previous work. The aqueous extract of 4:1 ratio Kalarchi Chooranam was subjected to GCMS study and the compounds Inositol, Xanthosine (CAS), alpha.-D-Glucopyranoside, methyl 2,3-bis-O- were identified as lead 3 comp

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37

Mrs. AnjuJose, Mrs AnjuJose, Beema Ansila Ansari, and Farsana Sadhik. "Design, Synthesis and Insilico Studies of Quinoline Derivatives." International Journal of Pharmaceutical Research and Applications 10, no. 1 (2025): 1636–40. https://doi.org/10.35629/4494-100116361640.

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Quinoline, a prominent heterocyclic compound, has emerged as an essential scaffold in the development of new drug entities due to its diverse biological activities. Quinoline and its derivatives have been extensively tested for their efficacy against a range of diseases, making them a valuable class for drug discovery. These compounds have shown significant promise in treating conditions such as anxiety, convulsions, Alzheimer’s disease, and Parkinson’s disease, among others. The review highlights the natural sources of quinoline and provides insights into quinoline-based drugs that have reach

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38

Madhuri, J. V. "Repurposing Quercetin In Treating Parkinson’s Disease With Network Based Protein-Protein Interactions And Molecular Docking Studies." African Journal of Biological Sciences 6, no. 10 (2024): 590–97. http://dx.doi.org/10.48047/afjbs.6.10.2024.590-597.

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Quercetin a flavonoid found in fruits and vegetables is well known for its antioxidant, anti-inflammatory, antimicrobial, and neuroprotective properties. An insilico approach has been adapted in this study for repurposing Quercetin as a potential drug candidate for the treatment of Parkinson’s disease (PD) and other neurodegenerative disorders.

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39

Kumar, Nilandu, Yash Shrivastava, and Dr Shilpa Sivashankar. "Insilico Simulation Studies for Tuberculosis Drug Discovery and its Response." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 008 (2024): 1–4. http://dx.doi.org/10.55041/ijsrem37244.

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From high treatment and with such precaution measures TB (Tuberculosis) came with leading cause of deaths in the world. For Tuberculosis it increasing drug resistance for different kind of TB like Multidrug-resistant TB and Extensively drug-resistant TB, increasing relapse and in efficiency of drug for TB pathogen.it take longer duration, it affect on human body with infection from HIV and other autoimmune disorder have pushed it to a lethal level and for this we need more effective drugs. With the help of CADD technology we can findout more viable drug molecules for the better treatment of My

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40

Pratyush, Kumar, and Alpana Asnani. "Docking of 3,5-diphenyl- pyrazoline with monoamine oxidase A receptor and In-Silico structural property calculation." Journal of Drug Delivery and Therapeutics 9, no. 3-s (2019): 43–45. http://dx.doi.org/10.22270/jddt.v9i3-s.2751.

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Depression is one of the widely spread disorder in current population and is increasing exponentially. Now age group is not a mandatory clause for depression as children today are also affected. Inhibition of monoamine oxidase A (MAO A) isoform was reported for treating depression by elevating mood. Hydrazines have been also reported for their antidepressant action by inhibiting the monoamine oxidase. In this current study we have chosen 3,5-diphenyl-pyrazoline as ligand molecule which actually mimics the structure of cyclic hydarazine and was supposed to bind with MAO A receptor and inhibit i

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41

Simorangkir, Murniaty, Saronom Silaban, and Destria Roza. "Anticholesterol activity of ethanol extract of Ranti Hitam (Solanum blumei Nees ex Blume) Leaves: In vivo and In silico study." Pharmacia 69, no. (2) (2022): 485–92. https://doi.org/10.3897/pharmacia.69.e84913.

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Ranti Hitam known as local name of (Solanum blumei Nees ex Blume) found in the Dairi, Sumatera Utara, Indonesia. It is used by the community as traditional medicine which contains of various phytochemical constituent of steroidal alkaloids of β2-solanin, diosgenin, flavonoids, saponins and tannins. The purpose of the study was to investigate the anticholesterol activity of the ethanol extract of (Solanum blumei Nees ex Blume) by in vivo and insilico methods. A number of 15 rats were divided into 5 treatment groups as in vivo high fat diet model, otherwise insilico study was carried out to dete

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Masood, Ammara, Hira Mubeen, and Nadia Iqbal. "Evaluation and Insilico Analysis of Genes Involved in Hypothyroidism." Biological Sciences - PJSIR 63, no. 3 (2020): 163–68. http://dx.doi.org/10.52763/pjsir.biol.sci.63.3.2020.163.168.

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 To evaluate the expression of genes that involved in hypothyroidism by multiple alignment of nucleotide sequences of genes study the functional unit of genes that involve in production of thyroid hormones. The thyroid gland is part of endocrine gland and regulates much vital body function (breathing, heart rate, body weight, body temperature also involve in development, growth, protein production and it also control the central and peripheral nervous system, muscle strength and menstrual cycle). Hypothyroidism is a condition in which thyroid gland does not produce enough thyroid hormone

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Satpute, Uday M., and Sachin H. Rohane. "Efficiency of AUTODOCK: Insilico study of Pharmaceutical Drug Molecules." Asian Journal Of Research in Chemistry 14, no. 1 (2021): 1–5. http://dx.doi.org/10.5958/0974-4150.2021.00016.x.

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Polak, Sebastian, Barbara Wisniowska, Kamil Fijorek, Anna Glinka, Milosz Polak, and Aleksander Mendyk. "The open-access dataset for insilico cardiotoxicity prediction system." Bioinformation 6, no. 6 (2011): 244–45. http://dx.doi.org/10.6026/97320630006244.

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Ewuola, Muslim, M. Akinyemi, and H. Osaiyuwu. "Insilico Analysis of Myostatin Gene in Selected Poultry Species." Journal of Advances in Biology & Biotechnology 17, no. 2 (2018): 1–10. http://dx.doi.org/10.9734/jabb/2018/39520.

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Selvarajan, Sivashankari. "Insilico Functional Annotation of Hypothetical ORFs in Human Chromosome2." TEXILA INTERNATIONAL JOURNAL OF ACADEMIC RESEARCH 3, no. 1 (2016): 160–68. http://dx.doi.org/10.21522/tijar.2014.03.01.art022.

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Subhashini, R. "Insilico inhibition of hexokinase-2 to treat cancer cells." International Journal of Medical Engineering and Informatics 5, no. 1 (2013): 1. http://dx.doi.org/10.1504/ijmei.2013.051660.

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Philippidis, Alex. "Insilico Details AI-Designed IBD Candidate's Path to Nomination." GEN Edge 6, no. 1 (2024): 998–1003. https://doi.org/10.1089/genedge.6.01.188.

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Philippidis, Alex. "Insilico Plans Pivotal Trial for AI-Based IPF Candidate." GEN Edge 6, no. 1 (2024): 925–28. https://doi.org/10.1089/genedge.6.01.175.

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Hamilton, Steven P., Thomas M. Evans, Gregory G. Davidson, Seth R. Johnson, Tara M. Pandya, and Andrew T. Godfrey. "Hot zero power reactor calculations using the Insilico code." Journal of Computational Physics 314 (June 2016): 700–711. http://dx.doi.org/10.1016/j.jcp.2016.03.033.

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