Knowledgebase of potential multifaceted solutions to antimicrobial resistance

Autor: Bhargav, Anasuya, Gupta, Srijanee, Seth, Surabhi, James, Sweety, Fatima, Firdaus, Chaurasia, Pratibha, Ramachandran, Srinivasan

Publikováno v: In Computational Biology and Chemistry December 2022 101

Chapter 28 - Free tools and databases in ligand and structure-based drug design

Autor: Chaurasia, Pratibha, Bhargav, Anasuya, Ramachandran, Srinivasan

Publikováno v: In Cheminformatics, QSAR and Machine Learning Applications for Novel Drug Development 2023:701-727

Screening and Identification of Novel Small Molecule Inhibitors against Mycobacterium tuberculosis Dihydrodipicolinate Synthase Enzyme using In Silico and In Vitro Methods

Autor: Bhargav, Anasuya, Chaurasia, Pratibha, Ivanisenko, Nikita V., Ivanisenko, Vladimir A., Taneja, Bhupesh, Ramachandran, Srinivasan

Emergence of multi drug resistant (MDR) and extensively drug resistant (XDR) Mycobacterium tuberculosis poses a serious threat to TB control as the available treatment options are less effective in these cases. Therefore, new strategies are required

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=sharePrprorg::bdc7ba3f2428dba22b0b6a3c1c553698

Contributors

Autor: Altomare, Cosimo Damiano, Amoroso, Nicola, Andola, Priyanka, Aydın, Ahmet, Bacelo, Daniel E., Ballabio, Davide, Banerjee, Adrija, Benfenati, Emilio, Bhargav, Anasuya, Biswas, Avratanu, Biziukova, Nadezhda Yu, Çalışkan, Elifcan, Campillo, Nuria E., Charehsaz, Mohammad, Chatterjee, Mainak, Chauhan, Shweta Singh, Chaurasia, Pratibha, Cherkasov, Artem, Chhabra, Sonali, Choudhary, Aishwarya, Ciriaco, Fulvio, Colombo, Erika, Consonni, Viviana, Coutinho, Evans C., Daré, Joyce K., de Castro Gertrudes, Jadson, de Faria, Adriana C., Doganis, Philip, Dubey, Gurudutt, Duchowicz, Pablo R., Dunbrack, Jr, Roland L., Ester, Martin, Fernandez, Michael, Fioressi, Silvina E., Freitas, Matheus P., Gambacorta, Nicola, Geronikaki, Athina, Gini, Giuseppina, Gousiadou, Chrysoula, Guruprasad, Lalitha, Hamidizadeh, Atia, Ivanov, Sergey M., Jamal, Tanya, Janairo, Jose Isagani B., Jayaram, B., Joshi, Karan, Kabieva, Shuanat Sh, Kar, Supratik, Karatzas, Pantelis, Kashyap, Kushagra, Kirubakaran, Sivapriya, Laxman, Durgam, Leszczynski, Jerzy, Lombardo, Anna, Luciani, Davide, Mahale, Manas, Maltarollo, Vinícius Gonçalves, Martínez, María J., Martis, Elvis A.F., Mastrolorito, Fabrizio, Matsuzaka, Yasunari, Murumkar, Prashant R., Nantasenamat, Chanin, Nápoles-Duarte, J.M., Naresh, Gatta K.R.S., Naveiro, Roi, Nicolotti, Orazio, Önlü, Serli, Pandey, Mohit, Parker, Mitchell I., Parkesh, Raman, Parthasarathi, Ramakrishnan, Pereira, Ingrid V., Petrou, Anthi, Ponzoni, Ignacio, Poroikov, Vladimir V., Prajapat, Devendra, Radaeva, Mariia, Ramachandran, Srinivasan, Ríos-Insua, David, Roy, Kunal, Saçan, Melek Türker, Sarimveis, Haralambos, Sehrawat, Ashish, Siddiqi, Mohammad Imran, Singh, Anurag, Sipahi, Hande, Sotiropoulos, Iason, Soto, Axel J., Swarup, Sapna, Tarasova, Olga A., Todeschini, Roberto, Togo, Maria Vittoria, Tondo, Anna Rita, Trisciuzzi, Daniela, Tsantili-Kakoulidou, Anna, Tsiros, Periklis, Tsopelas, Fotios, Tugcu, Gulcin, Uesawa, Yoshihiro, Vallianatou, Theodosia, Veríssimo, Gabriel Corrêa, Yadav, Mange Ram, Yadav, Rasana, Yang, Siyun

Publikováno v: In Cheminformatics, QSAR and Machine Learning Applications for Novel Drug Development 2023:xiii-xvii